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Displaying 1-6 out of 6 total
Mean Shift Trackers with Cross-Bin Metrics
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ido Leichter
Issue Date:April 2012
pp. 695-706
Cross-bin metrics have been shown to be more suitable than bin-by-bin metrics for measuring the distance between histograms in various applications. In particular, a visual tracker that minimizes the earth mover's distance (EMD) between the candidate and r...
 
Tracking by Affine Kernel Transformations Using Color and Boundary Cues
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Issue Date:January 2009
pp. 164-171
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in location and in scale) such that a function of the aggregate is optimized. We ...
 
Bittracker—A Bitmap Tracker for Visual Tracking under Very General Conditions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Issue Date:September 2008
pp. 1572-1588
This paper addresses the problem of visual tracking under very general conditions: a possibly non-rigid target whose appearance may drastically change over time; general camera motion; a 3D scene; and no a priori information except initialization. This is ...
 
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Found in: Computer Vision, IEEE International Conference on
By Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Issue Date:October 2007
pp. 1-6
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in location and in scale) such that a function of the aggregate is optimized. We ...
 
A Probabilistic Framework for Combining Tracking Algorithms
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Issue Date:July 2004
pp. 445-451
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, probabilistic framework to combine multiple tracking algorithms. The separate...
 
The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ido Leichter,Michael Lindenbaum,Ehud Rivlin
Issue Date:March 2014
pp. 620-621
A methodology for integrating multiple cues for tracking was proposed in several papers. These papers claim that, unlike other methodologies, conditional independence of the cues is not assumed. This brief communication 1) refutes this claim and 2) points ...
 
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