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Full-Text Articles in Robotics
Comparing Discrimination And Cfa For Selecting Tracking Features, Damian M. Lyons, D. Frank Hsu
Comparing Discrimination And Cfa For Selecting Tracking Features, Damian M. Lyons, D. Frank Hsu
Faculty Publications
The ability of a tracker to isolate the foreground target from the background of an image is crucially dependent on the set of features selected for tracking. Collins & Liu [2] propose an on-line, adaptive approach to selecting the set of features based on the insight that the set of features that best discriminate between target and background classes is the best set to use for tracking. In previous work [10], we have proposed an approach based on Combinatorial Fusion Analysis for selecting features for Real-Time tracking. We discuss the relative merits of the two methods and motivate their combination …