Automatic multiple moving humans detection and tracking in image sequences taken from a stationary thermal infrared camera
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[1] Jiang-tao Wang,et al. On pedestrian detection and tracking in infrared videos , 2012, Pattern Recognit. Lett..
[2] Jin Gao,et al. Transfer Learning Based Visual Tracking with Gaussian Processes Regression , 2014, ECCV.
[3] Mohamed El Ansari,et al. A new thermal infrared and visible spectrum images-based pedestrian detection system , 2018, Multimedia Tools and Applications.
[4] Thierry Bouwmans,et al. Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[5] Huchuan Lu,et al. Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Zheng Liu,et al. Pedestrian detection from thermal images: A sparse representation based approach , 2016 .
[7] A. K. S. Kushwaha,et al. Automatic multiple human detection and tracking for visual surveillance system , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).
[8] Huosheng Hu,et al. Multisensor-Based Human Detection and Tracking for Mobile Service Robots , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[9] Thierry Bouwmans,et al. A Fuzzy Background Modeling Approach for Motion Detection in Dynamic Backgrounds , 2012, MMSP 2012.
[10] Clemente Ibarra-Castanedo,et al. Advanced surveillance systems: combining video and thermal imagery for pedestrian detection , 2004, SPIE Defense + Commercial Sensing.
[11] Haibin Ling,et al. Real time robust L1 tracker using accelerated proximal gradient approach , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Rustam Stolkin,et al. Particle Filter Tracking of Camouflaged Targets by Adaptive Fusion of Thermal and Visible Spectra Camera Data , 2014, IEEE Sensors Journal.
[13] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[14] Arturo de la Escalera,et al. Far infrared pedestrian detection and tracking for night driving , 2011, Robotica.
[15] Jean Meunier,et al. Robust Video Surveillance for Fall Detection Based on Human Shape Deformation , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[16] Ankush Mittal,et al. Fusion of Thermal Infrared and Visible Spectrum Video for Robust Surveillance , 2006, ICVGIP.
[17] Laxmidhar Behera,et al. A novel fusion framework for robust human tracking by a service robot , 2017, Robotics Auton. Syst..
[18] Bin Luo,et al. Fast Grayscale-Thermal Foreground Detection With Collaborative Low-Rank Decomposition , 2018, IEEE Transactions on Circuits and Systems for Video Technology.
[19] Roland Siegwart,et al. People detection and tracking from aerial thermal views , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[20] Zheng Liu,et al. Fusion of thermal and visible cameras for the application of pedestrian detection , 2017, Signal Image Video Process..
[21] Xia Liu,et al. Pedestrian detection and tracking with night vision , 2005, IEEE Transactions on Intelligent Transportation Systems.
[22] 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).
[23] Armin B. Cremers,et al. Informed Haar-Like Features Improve Pedestrian Detection , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Mau-Tsuen Yang,et al. Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home , 2014, Sensors.
[25] Karen O. Egiazarian,et al. Dominant Rotated Local Binary Patterns (DRLBP) for texture classification , 2016, Pattern Recognit. Lett..
[26] Hejun Wu,et al. Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[27] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[28] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[29] Dongmei Fu,et al. Pedestrian tracking for infrared image sequence based on trajectory manifold of spatio-temporal slice , 2016, Multimedia Tools and Applications.
[30] Riad I. Hammoud,et al. Pedestrian tracking by fusion of thermal-visible surveillance videos , 2010, Machine Vision and Applications.
[31] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[32] Weiguo Gong,et al. Real Time Pedestrian Tracking using Thermal Infrared Imagery , 2010, J. Comput..
[33] Rajkumar Soundrapandiyan,et al. An Approach to Adaptive Pedestrian Detection and Classification in Infrared Images Based on Human Visual Mechanism and Support Vector Machine , 2018 .
[34] Zhenmin Tang,et al. Modified particle filter-based infrared pedestrian tracking , 2010 .
[35] Cordelia Schmid,et al. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.
[36] Xin Li,et al. Pedestrian detection and tracking in infrared imagery using shape and appearance , 2007, Comput. Vis. Image Underst..
[37] Shuai Liu,et al. A review of visual moving target tracking , 2017, Multimedia Tools and Applications.
[38] Luís A. Alexandre,et al. Motion Based Particle Filter for Human Tracking with Thermal Imaging , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.
[39] Xuelong Li,et al. Efficient HOG human detection , 2011, Signal Process..
[40] Alan F. Smeaton,et al. Background Modelling in Infrared and Visible Spectrum Video for People Tracking , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.
[41] Xuelong Li,et al. Detection of Sudden Pedestrian Crossings for Driving Assistance Systems , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[42] Vinay Sharma,et al. Robust detection of people in thermal imagery , 2004, ICPR 2004.
[43] Larry S. Davis,et al. Pedestrian Detection via Periodic Motion Analysis , 2007, International Journal of Computer Vision.
[44] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[45] Bir Bhanu,et al. Physics-based models of color and IR video for sensor fusion , 2003, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003..
[46] Vibhav Vineet,et al. Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Kyung-Yong Chung,et al. Context and profile based cascade classifier for efficient people detection and safety care system , 2012, Multimedia Tools and Applications.
[48] Mohan M. Trivedi,et al. Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation , 2013, IEEE Transactions on Intelligent Transportation Systems.
[49] Zheng Liu,et al. Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks , 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).
[50] Guillaume-Alexandre Bilodeau,et al. An iterative integrated framework for thermal-visible image registration, sensor fusion, and people tracking for video surveillance applications , 2012, Comput. Vis. Image Underst..
[51] Mohamed S. Yasein,et al. Pedestrian detection using shape context and PHOG , 2014, 2014 9th International Conference on Computer Engineering & Systems (ICCES).
[52] Dariu Gavrila,et al. Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle , 2007, International Journal of Computer Vision.
[53] Grantham Pang,et al. People Counting and Human Detection in a Challenging Situation , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[54] Lei Meng,et al. A people counting system based on head-shoulder detection and tracking in surveillance video , 2010, 2010 International Conference On Computer Design and Applications.
[55] Noboru Yasuda,et al. Pedestrian Detection and Tracking in Far Infrared Images , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[56] Luis Enrique Sucar,et al. Human silhouette recognition with Fourier descriptors , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[57] ByoungChul Ko,et al. Human tracking in thermal images using adaptive particle filters with online random forest learning , 2013 .
[58] Takeo Kanade,et al. A System for Video Surveillance and Monitoring , 2000 .
[59] Luc Van Gool,et al. An adaptive color-based particle filter , 2003, Image Vis. Comput..