9.913 Pattern Recognition for Vision Class 8-2 – An Application of Clustering Bernd Heisele.

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Presentation transcript:

9.913 Pattern Recognition for Vision Class 8-2 – An Application of Clustering Bernd Heisele

Overview Problem Background Clustering for Tracking Examples Literature Homework

Problem Detect objects on the road: Cars, trucks, motorbikes, pedestrians.

Image Motion

Object Segmentation using Image Motion Motion-based segmentation

Image Motion — Equations for Rigid Motion

Image Motion — Estimation Optical Flow

Image Motion — Estimation problems

Object Segmentation Problem

Literature B.Heisele, U.Kressel, and W. Ritter.Tracking non-rigid, moving objects based on color cluster flow.Proc. Computer Vision and Pattern Recognition (CVPR), pp , San Juan, Clustering Classics: J. MacQueen. Some methods for classification and analysis of multivariate observations. Proc. 5thBerkeley Symp. Mathematics, Statistics and Probablility, pp , Y.Linde, A.Buzo, and R. Gray. An algorithm for vectorquantizerdesign. IEEE Transactions on Communications, COM- 28/1, pp , 1980.