05: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 27.05.2019

05 | 0:00:00 Start 0:00:10 Correction 0:02:07 Chapter 4: Optical Flow 0:11:15 Lucas-Kanade Method 0:20:44 Limits of linear approximation 0:27:46 Iterated Lucas-Kanade Method 0:29:05 Aperture Problem 0:37:31 Variational Approach 0:46:51 Optical Flow and Stereo Vision 0:51:20 Sparse Flow 0:53:02 Image Based Tracking 1:02:39 Example: Kernelized Correlation Filter (KCF) 1:09:37 Example: Tracking with Occlusions 1:14:31 Tracking in Fog 1:16:12 Summary of Chapter 4 1:18:00 Chapter 5: Tracking Moving Objects 1:18:46 Motion Estimation by Regression 1:19:05 Estimation Problem 1:21:20 Regression