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Displaying 1-4 out of 4 total
Conditional Random Fields for multi-camera object detection
Found in: Computer Vision, IEEE International Conference on
By Gemma Roig,Xavier Boix,Horesh Ben Shitrit,Pascal Fua
Issue Date:November 2011
pp. 563-570
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account different object classes simultaneously. Given several images of the scene tak...
 
Tracking multiple people under global appearance constraints
Found in: Computer Vision, IEEE International Conference on
By Horesh Ben Shitrit,Jerome Berclaz,Francois Fleuret,Pascal Fua
Issue Date:November 2011
pp. 137-144
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effect...
 
Multi-Commodity Network Flow for Tracking Multiple People
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Horesh Ben Shitrit,Jerome Berclaz,Francois Fleuret,Pascal Fua
Issue Date:August 2014
pp. 1-1
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a multi-commodity network flow problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effe...
 
Multi-Commodity Network Flow for Tracking Multiple People
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Horesh Ben Shitrit,Jerome Berclaz,Francois Fleuret,Pascal Fua
Issue Date:October 2013
pp. 1
n this paper, we show that tracking multiple people whose paths may intersect can be formulated as a multi-commodity network flow problem. Our proposed framework is designed to exploit image appearance cues to prevent identity switches. Our method is effec...
 
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