Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking. The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

[1]  Zhengyou Zhang Le Probleme de la mise en correspondance : l'etat de l'art , 1993 .

[2]  Gongguo Tang,et al.  Multiobjective Optimization of OFDM Radar Waveform for Target Detection , 2011, IEEE Transactions on Signal Processing.

[3]  É. Vincent On feature point matching, in the calibrated and uncalibrated contexts, between widely and narrowly separated images , 2004 .

[4]  Konrad Schindler,et al.  Globally Optimal Multi-target Tracking on a Hexagonal Lattice , 2010, ECCV.

[5]  S. Haykin,et al.  Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.

[6]  R. Storn,et al.  Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .

[7]  Jin-Bao Jian,et al.  A superlinearly convergent norm-relaxed SQP method of strongly sub-feasible directions for constrained optimization without strict complementarity , 2009, Appl. Math. Comput..

[8]  Darryl Morrell,et al.  Dynamic Configuration of Time-Varying Waveforms for Agile Sensing and Tracking in Clutter , 2007, IEEE Transactions on Signal Processing.

[9]  Carlos H. Muravchik,et al.  Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..

[10]  Robin J. Evans,et al.  Optimal waveform selection for tracking systems , 1994, IEEE Trans. Inf. Theory.

[11]  Truong Q. Nguyen Near-perfect-reconstruction pseudo-QMF banks , 1994, IEEE Trans. Signal Process..

[12]  Branko Ristic,et al.  Cramer-Rao bound for nonlinear filtering with Pd<1 and its application to target tracking , 2002, IEEE Trans. Signal Process..

[13]  Gongguo Tang,et al.  Multi-objective optimized OFDM radar waveform for target detection in multipath scenarios , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[14]  Pierre Comon,et al.  Automated Extraction of Atrial Fibrillation Activity from the Surface ECG Using Independent Component Analysis in the Frequency Domain , 2009 .

[15]  Yunlong Cai,et al.  Low-complexity adaptive step size constrained constant modulus SG algorithms for adaptive beamforming , 2009, Signal Process..

[16]  Arye Nehorai,et al.  Adaptive OFDM Radar for Target Detection in Multipath Scenarios , 2011, IEEE Transactions on Signal Processing.

[17]  Michael C. Wicks,et al.  A brief history of waveform diversity , 2009, 2009 IEEE Radar Conference.

[18]  F. Daum Bounds on performance for multiple target tracking , 1990 .

[19]  Pierre Comon,et al.  Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast With Algebraic Optimal Step Size , 2010, IEEE Transactions on Neural Networks.

[20]  Renpu Ge,et al.  A Filled Function Method for Finding a Global Minimizer of a Function of Several Variables , 1990, Math. Program..

[21]  Arye Nehorai,et al.  OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking , 2010, IEEE Transactions on Signal Processing.

[22]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[23]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[24]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[25]  Kai-Kuang Ma,et al.  A new diamond search algorithm for fast block-matching motion estimation , 2000, IEEE Trans. Image Process..

[26]  B. Rigling,et al.  Modulus constraints in adaptive radar waveform design , 2008, 2008 IEEE Radar Conference.

[27]  J. S. Goldstein,et al.  Full-polarization matched-illumination for target detection and identification , 2002 .

[28]  F.G.J. Absil,et al.  Target Tracking in Sensor Networks: Criteria for Sensor Selection , 2007, 2007 IEEE Radar Conference.

[29]  Afsar Saranli,et al.  A tracker-aware detector threshold optimization formulation for tracking maneuvering targets in clutter , 2011, Signal Process..

[30]  Yaakov Bar-Shalom,et al.  Adaptive Detection Threshold Optimization for Tracking in Clutter , 1984, 1984 American Control Conference.

[31]  Desire Sidibé,et al.  Fast and robust image matching using contextual information and relaxation , 2007, VISAPP.

[32]  Dan Simon,et al.  Biogeography-Based Optimization , 2022 .

[33]  Thomas Bäck,et al.  Evolutionary Algorithms in Theory and Practice , 1996 .

[34]  Katta G. Murty,et al.  Nonlinear Programming Theory and Algorithms , 2007, Technometrics.

[35]  Patrick Siarry,et al.  Biogeography-based optimization for constrained optimization problems , 2012, Comput. Oper. Res..

[36]  Olga Veksler,et al.  Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[37]  Eduard Sojka A new approach to detecting the corners in digital images , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[38]  Xiaoqin Zhang,et al.  Multiple Object Tracking Via Species-Based Particle Swarm Optimization , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[39]  Qian Chen,et al.  Tracking Iris Contour with a 3D Eye-Model for Gaze Estimation , 2007, ACCV.

[40]  Frank Weinmann Frequency dependent RCS of a generic airborne target , 2010, 2010 URSI International Symposium on Electromagnetic Theory.

[41]  L.Y. Pao,et al.  Multisensor covariance control strategies for reducing bias effects in interacting target scenarios , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[42]  J. N. Driessen,et al.  Particle filter based detection for tracking , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[43]  Lucy Y. Pao,et al.  A comparison of parallel and sequential implementations of a multisensor multitarget tracking algorithm , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[44]  Peter B. Luh,et al.  From receiver operating characteristic to system operating characteristic: evaluation of a track formation system , 1990 .

[45]  Pravin Varaiya,et al.  Stochastic Systems: Estimation, Identification, and Adaptive Control , 1986 .

[46]  Amin Zia,et al.  Cognitive tracking radar , 2010, 2010 IEEE Radar Conference.

[47]  Xin Yao,et al.  Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..

[48]  S. Haykin,et al.  Optimal waveform design for cognitive radar , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[49]  R.J. Evans,et al.  Waveform selective probabilistic data association , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[50]  Y. Boers,et al.  Results on the modified Riccati equation: target tracking applications , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[51]  Michael Unser,et al.  Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..

[52]  N. Ayache,et al.  Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.

[53]  Umesh D. Ramdaras,et al.  Sensor selection: the modified riccati equation approach compared with other selection schemes , 2007, 2007 10th International Conference on Information Fusion.

[54]  Arye Nehorai,et al.  Introduction to the issue on adaptive waveform design for agile sensing and communication , 2007, J. Sel. Topics Signal Processing.

[55]  Stephen P. Boyd,et al.  Robust minimum variance beamforming , 2005, IEEE Transactions on Signal Processing.

[56]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[57]  Kok Lay Teo,et al.  A Hybrid Descent Method for Global Optimization , 2004, J. Glob. Optim..

[58]  Gongguo Tang,et al.  Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values , 2010, IEEE Transactions on Signal Processing.

[59]  Xiaoqin Zhang,et al.  A swarm intelligence based searching strategy for articulated 3D human body tracking , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[60]  Terence Tao,et al.  The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.

[61]  T. Kerr Status of CR-like lower bounds for nonlinear filtering , 1989 .

[62]  C. Hue,et al.  Posterior Cramer-Rao bounds for multi-target tracking , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[63]  Edward M. Hofstetter,et al.  On the design of optimum radar waveforms for clutter rejection , 1967, IEEE Trans. Inf. Theory.

[64]  D. J. Salmond,et al.  A particle filter for track-before-detect , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[65]  Vijay John,et al.  Markerless human articulated tracking using hierarchical particle swarm optimisation , 2010, Image Vis. Comput..

[66]  Dobb's journal staff Of interest , 2001, Administration in mental health.

[67]  Marco Laumanns,et al.  A Tutorial on Evolutionary Multiobjective Optimization , 2004, Metaheuristics for Multiobjective Optimisation.

[68]  Y. Bar-Shalom,et al.  A hybrid conditional averaging technique for performance prediction of algorithms with continuous and discrete uncertainties , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[69]  William Franklin Leven,et al.  Approximate Cramer-Rao Bounds for Multiple Target Tracking , 2006 .

[70]  Ashish Pandharipande,et al.  Principles of OFDM , 2002 .

[71]  James H. Taylor The Cramer-Rao estimation error lower bound computation for deterministic nonlinear systems , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[72]  Louis L. Scharf,et al.  A Multistage Representation of the Wiener Filter Based on Orthogonal Projections , 1998, IEEE Trans. Inf. Theory.

[73]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[74]  P. P. Vaidyanathan,et al.  Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch , 2007, IEEE Transactions on Signal Processing.

[75]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[76]  John F. Shaeffer,et al.  Radar Cross Section , 2004 .

[77]  William D. Rummler A Technique for Improving the Clutter Performance of Coherent Pulse Train Signals , 1967, IEEE Transactions on Aerospace and Electronic Systems.

[78]  Yakov Bar-Shalom,et al.  Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .

[79]  O. L. Frost,et al.  An algorithm for linearly constrained adaptive array processing , 1972 .

[80]  Y. Bar-Shalom,et al.  Detection thresholds for tracking in clutter--A connection between estimation and signal processing , 1985 .

[81]  T. Steihaug The Conjugate Gradient Method and Trust Regions in Large Scale Optimization , 1983 .

[82]  Afsar Saranli,et al.  Threshold Optimization for Tracking a Nonmaneuvering Target , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[83]  Bruno Sinopoli,et al.  Kalman filtering with intermittent observations , 2004, IEEE Transactions on Automatic Control.

[84]  Jean-Pierre Le Cadre,et al.  Closed-form posterior Cramer-Rao bounds for bearings-only tracking , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[85]  Zhi-Quan Luo,et al.  Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem , 2003, IEEE Trans. Signal Process..

[86]  Chun-Ming Tang,et al.  A new superlinearly convergent norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization , 2006, Appl. Math. Comput..

[87]  Antonio De Maio,et al.  Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint , 2011, IEEE Transactions on Signal Processing.

[88]  A. Farina,et al.  Performance measure for Markovian switching systems using best-fitting Gaussian distributions , 2008, IEEE Transactions on Aerospace and Electronic Systems.

[89]  Ran Quan,et al.  A new norm-relaxed SQP algorithm with global convergence , 2010, Appl. Math. Lett..

[90]  Paolo Remagnino,et al.  Correlation techniques in adaptive template matching with uncalibrated cameras , 1995, Other Conferences.

[91]  Yaakov Bar-Shalom,et al.  Detection threshold selection for tracking performance optimization , 1994 .

[92]  Phani Chavali,et al.  Scheduling and Power Allocation in a Cognitive Radar Network for Multiple-Target Tracking , 2012, IEEE Transactions on Signal Processing.

[93]  Lucy Y. Pao,et al.  The optimal order of processing sensor information in sequential multisensor fusion algorithms , 2000, IEEE Trans. Autom. Control..

[94]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[95]  Bernard C. Levy,et al.  Principles of Signal Detection and Parameter Estimation , 2008 .

[96]  C.J. Baker,et al.  Multi-mission multi-mode waveform diversity , 2006, 2006 IEEE Conference on Radar.

[97]  Cordelia Schmid,et al.  Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.

[98]  Alexander M. Haimovich,et al.  An eigenanalysis interference canceler , 1991, IEEE Trans. Signal Process..

[99]  Chi-Wah Kok,et al.  Peak constrained least-squares QMF banks , 2008, Signal Process..

[100]  Jian Li,et al.  Doubly constrained robust Capon beamformer , 2004, IEEE Transactions on Signal Processing.

[101]  Ming-Hsuan Yang,et al.  Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.

[102]  Patrick Siarry,et al.  Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO) , 2011, Comput. Oper. Res..

[103]  Stella N. Batalama,et al.  Data-record-based criteria for the selection of an auxiliary-vector estimator of the MVDR filter , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[104]  Jin-Bao Jian,et al.  A strongly convergent norm-relaxed method of strongly sub-feasible direction for optimization with nonlinear equality and inequality constraints , 2006, Appl. Math. Comput..

[105]  Yaakov Bar-Shalom,et al.  Multitarget/Multisensor Tracking: Applications and Advances -- Volume III , 2000 .

[106]  T. W. Anderson An Introduction to Multivariate Statistical Analysis , 1959 .

[107]  Pierre Comon,et al.  Optimal Step-Size Constant Modulus Algorithm , 2008, IEEE Transactions on Communications.

[108]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[109]  Pierre Comon,et al.  Comparative Speed Analysis of FastICA , 2007, ICA.

[110]  Vincent J. Amuso,et al.  A distributed object-oriented multi-mission radar waveform design implementation , 2012, 2012 International Waveform Diversity & Design Conference (WDD).

[111]  S. Kay,et al.  Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation , 2007, IEEE Journal of Selected Topics in Signal Processing.

[112]  H. V. Trees Detection, Estimation, And Modulation Theory , 2001 .

[113]  Konrad Schindler,et al.  An analytical formulation of global occlusion reasoning for multi-target tracking , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[114]  Mark A. Richards,et al.  Fundamentals of Radar Signal Processing , 2005 .

[115]  Peter Willett,et al.  Detection-tracking performance with combined waveforms , 1998 .

[116]  Arye Nehorai,et al.  Adaptive OFDM radar for detecting a moving target in urban scenarios , 2009, 2009 International Waveform Diversity and Design Conference.

[117]  Ramakant Nevatia,et al.  Multi-target tracking by on-line learned discriminative appearance models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[118]  Sun-Mog Hong,et al.  An analytic approximation of information reduction factor for performance prediction of PDA tracking , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[119]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[120]  Y. Bar-Shalom,et al.  Track formation with bearing and frequency measurements in clutter , 1990, 29th IEEE Conference on Decision and Control.

[121]  A. Farina,et al.  PCRLB for tracking in cluttered environments: measurement sequence conditioning approach , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[122]  S. Haykin Cognitive Radar Networks , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[123]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[124]  Charles Gide,et al.  Cours d'économie politique , 1911 .

[125]  Corrections to "A Method for the Synthesis of Controllers to Handle Safety, Liveness, and Real-Time Constraints" and "Tracking in Clutter with Strongest Neighbor Measurements - Part I: Theoretical Analysis" , 1999, IEEE Trans. Autom. Control..

[126]  Ram Nevatia,et al.  Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, CVPR.

[127]  Y. Bar-Shalom,et al.  Tracking in clutter with nearest neighbor filters: analysis and performance , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[128]  Jian Li,et al.  On robust Capon beamforming and diagonal loading , 2003, IEEE Trans. Signal Process..

[129]  Daniel Pérez Palomar,et al.  Code Design for Radar STAP via Optimization Theory , 2010, IEEE Transactions on Signal Processing.

[130]  Kok Lay Teo,et al.  Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming , 2010, IEEE Transactions on Signal Processing.

[131]  P. Mahalanobis On the generalized distance in statistics , 1936 .

[132]  R. D. Lamare,et al.  Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering , 2009, IEEE Transactions on Signal Processing.

[133]  Mark R. Bell Information theory and radar waveform design , 1993, IEEE Trans. Inf. Theory.

[134]  R. Sampaio-Neto,et al.  Reduced-Rank Adaptive Filtering Based on Joint Iterative Optimization of Adaptive Filters , 2007, IEEE Signal Processing Letters.

[135]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .

[136]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[137]  Harold W. Kuhn,et al.  Nonlinear programming: a historical view , 1982, SMAP.

[138]  J. T. Wang,et al.  EFFICIENT ADAPTIVE DETECTION THRESHOLD OP- TIMIZATION FOR TRACKING MANEUVERING TAR- GETS IN CLUTTER , 2012 .

[139]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[140]  Benlian Xu,et al.  On the Cramér-Rao lower bound for biased bearings-only maneuvering target tracking , 2007, Signal Process..

[141]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[142]  George Vosselman,et al.  Mutual information based evaluation of 3D building models , 2002, Object recognition supported by user interaction for service robots.

[143]  Thakshila Wimalajeewa,et al.  Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO , 2008, IEEE Transactions on Wireless Communications.

[144]  G. Rigoll,et al.  Multi camera person tracking applying a graph-cuts based foreground segmentation in a homography framework , 2009, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.

[145]  Rodrigo C. de Lamare,et al.  Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis , 2010, Signal Process..

[146]  Rodrigo C. de Lamare,et al.  Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm , 2010, IEEE Transactions on Signal Processing.

[147]  K. Deb An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .

[148]  Rainer Stiefelhagen,et al.  The CLEAR 2006 Evaluation , 2006, CLEAR.

[149]  J. Ferryman,et al.  PETS2009: Dataset and challenge , 2009, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.

[150]  Buyurman Baykal,et al.  Tracker-aware adaptive detection: An efficient closed-form solution for the Neyman-Pearson case , 2010, Digit. Signal Process..

[151]  Lloyd J. Griffiths,et al.  A projection approach for robust adaptive beamforming , 1994, IEEE Trans. Signal Process..

[152]  Lloyd J. Spafford Optimum radar signal processing in clutter , 1968, IEEE Trans. Inf. Theory.

[153]  C. Gouriéroux,et al.  Non-Gaussian State-Space Modeling of Nonstationary Time Series , 2008 .

[154]  Xiaoqin Zhang,et al.  Sequential particle swarm optimization for visual tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[155]  Chun-Ming Tang,et al.  A new norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization , 2005, Appl. Math. Comput..

[156]  Henry Cox,et al.  Robust adaptive beamforming , 2005, IEEE Trans. Acoust. Speech Signal Process..

[157]  Wan-Chi Siu,et al.  Single step optimal block matched motion estimation with motion vectors having arbitrary pixel precisions , 2010, 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010).

[158]  Chia-Ling Tsai,et al.  Registration of Challenging Image Pairs: Initialization, Estimation, and Decision , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[159]  Kuo-Chu Chang,et al.  Prediction of track purity and track accuracy in dense target environments , 1995, IEEE Trans. Autom. Control..

[160]  Emmanuel J. Candès,et al.  Decoding by linear programming , 2005, IEEE Transactions on Information Theory.

[161]  J.L. Krolik,et al.  Exploiting multipath propagation for GMTI in urban environments , 2006, 2006 IEEE Conference on Radar.

[162]  Michael C. Wicks,et al.  Principles of waveform diversity and design , 2011 .

[163]  Mathias Kölsch,et al.  Flocks of Features for Tracking Articulated Objects , 2005 .

[164]  Tom E. Bishop,et al.  Blind Image Restoration Using a Block-Stationary Signal Model , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[165]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[166]  Asoke K. Nandi,et al.  Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation , 2001, IEEE Transactions on Biomedical Engineering.

[167]  Ian D. Reid,et al.  Stable multi-target tracking in real-time surveillance video , 2011, CVPR 2011.

[168]  E. Candès The restricted isometry property and its implications for compressed sensing , 2008 .

[169]  Richard Szeliski,et al.  Stereo Matching with Nonlinear Diffusion , 1998, International Journal of Computer Vision.

[170]  Francisco Fernández de Vega,et al.  Evolutionary Feature Selection for Probabilistic Object Recognition, Novel Object Detection and Object Saliency Estimation using GMMs , 2007, BMVC.

[171]  Jan Flusser,et al.  Robust detection of significant points in multiframe images , 1999, Pattern Recognit. Lett..

[172]  A. Farina,et al.  Cramér–Rao lower bound for tracking multiple targets , 2004 .

[173]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[174]  Peter Willett,et al.  Integration of Bayes detection with target tracking , 2001, IEEE Trans. Signal Process..

[175]  R. Sampaio-Neto,et al.  Low-complexity variable step-size mechanisms for stochastic gradient algorithms in minimum variance CDMA receivers , 2006, IEEE Transactions on Signal Processing.

[176]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[177]  E. S. Pearson,et al.  On the Problem of the Most Efficient Tests of Statistical Hypotheses , 1933 .

[178]  Bingo Wing-Kuen Ling,et al.  Filtering in Rotated Time-Frequency Domains With Unknown Noise Statistics , 2012, IEEE Transactions on Signal Processing.

[179]  James J. Little,et al.  Robust Visual Tracking for Multiple Targets , 2006, ECCV.

[180]  X. R. Li,et al.  Performance Prediction of the Interacting Multiple Model Algorithm , 1992, 1992 American Control Conference.

[181]  M. Dow Explicit inverses of Toeplitz and associated matrices , 2008 .

[182]  X. R. Li,et al.  Stability evaluation and track life of the PDAF for tracking in clutter , 1991 .

[183]  Tania Stathaki,et al.  Subpixel Registration With Gradient Correlation , 2011, IEEE Transactions on Image Processing.

[184]  S. R. Rogers,et al.  Diffusion analysis of track loss in clutter , 1991 .

[185]  V.J. Amuso,et al.  The Strength Pareto Evolutionary Algorithm 2 (SPEA2) applied to simultaneous multi- mission waveform design , 2007, 2007 International Waveform Diversity and Design Conference.

[186]  David Suter,et al.  Assessing the performance of corner detectors for point feature tracking applications , 2004, Image Vis. Comput..

[187]  Jasbir S. Arora,et al.  Survey of multi-objective optimization methods for engineering , 2004 .

[188]  A. Nehorai,et al.  Information Theoretic Adaptive Radar Waveform Design for Multiple Extended Targets , 2007, IEEE Journal of Selected Topics in Signal Processing.

[189]  Leonardo Trujillo,et al.  Automated Design of Image Operators that Detect Interest Points , 2008, Evolutionary Computation.

[190]  Carlos A. Coello Coello,et al.  THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART , 2002 .

[191]  Konrad Schindler,et al.  Multi-target tracking by continuous energy minimization , 2011, CVPR 2011.

[192]  Sebastian Weik,et al.  Registration of 3-D partial surface models using luminance and depth information , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[193]  Michael L. Honig,et al.  Adaptive reduced-rank interference suppression based on the multistage Wiener filter , 2002, IEEE Trans. Commun..

[194]  Vladimir Pavlovic,et al.  Real-Time Vision for Human-Computer Interaction , 2010 .

[195]  Kalyanmoy Deb,et al.  Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..

[196]  A. Robert Calderbank,et al.  Waveform Diversity in Radar Signal Processing , 2009, IEEE Signal Processing Magazine.

[197]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[198]  Buyurman Baykal,et al.  Optimal tracker-aware radar detector threshold adaptation: A closed-form solution , 2008, 2008 11th International Conference on Information Fusion.

[199]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[200]  D. J. Kershaw,et al.  A contribution to performance prediction for probabilistic data association tracking filters , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[201]  A. Farina,et al.  Pareto-optimal radar waveform design , 2010, 2010 International Waveform Diversity and Design Conference.

[202]  李幼升,et al.  Ph , 1989 .

[203]  Young-Hun Jung,et al.  Modeling and parameter optimization of agile beam radar tracking , 2003 .

[204]  Rodrigo C. de Lamare,et al.  Adaptive Reduced-Rank Constrained Constant Modulus Algorithms Based on Joint Iterative Optimization of Filters for Beamforming , 2010, IEEE Transactions on Signal Processing.

[205]  Hans Driessen,et al.  Modified Riccati equation and its application to target tracking , 2006 .

[206]  M.A. Neifeld,et al.  Adaptive Waveform Design and Sequential Hypothesis Testing for Target Recognition With Active Sensors , 2007, IEEE Journal of Selected Topics in Signal Processing.

[207]  R.J. Evans,et al.  Optimization of waveform and detection threshold for range and range-rate tracking in clutter , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[208]  Nils Sandell,et al.  Detection with Distributed Sensors , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[209]  Petros G. Voulgaris,et al.  On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..

[210]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[211]  Antonio De Maio,et al.  Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints , 2008, IEEE Transactions on Signal Processing.