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Displaying 1-7 out of 7 total
Multiple Object Tracking Using K-Shortest Paths Optimization
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jérôme Berclaz, François Fleuret, Engin Türetken, Pascal Fua
Issue Date:September 2011
pp. 1806-1819
Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previ...
 
Multicamera People Tracking with a Probabilistic Occupancy Map
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By François Fleuret, Jérôme Berclaz, Richard Lengagne, Pascal Fua
Issue Date:February 2008
pp. 267-282
Given two to four synchronized video streams taken at eye level and from different angles, we show that we can effectively combine a generative model with dynamic programming to accurately follow up to six individuals across thousands of frames in spite of...
 
Robust People Tracking with Global Trajectory Optimization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jerome Berclaz, Francois Fleuret, Pascal Fua
Issue Date:June 2006
pp. 744-750
<p>Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions....
 
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...
 
3D City Modeling from Street-Level Data for Augmented Reality Applications
Found in: 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)
By Timo Pylvanainen,Jerome Berclaz,Thommen Korah,Varsha Hedau,Mridul Aanjaneya,Radek Grzeszczuk
Issue Date:October 2012
pp. 238-245
We present a method for automatically creating compact and accurate 3D city models needed for enhanced Augmented Reality applications. The input data are panorama images and LIDAR scans collected at street level and positioned using an IMU and a GPS. Our m...
 
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...
 
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