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» Decentralized Multiple Camera Multiple Object Tracking
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ECCV
2010
Springer
15 years 2 months ago
Cascaded Confidence Filtering for Improved Tracking-by-Detection
We propose a novel approach to increase the robustness of object detection algorithms in surveillance scenarios. The cascaded confidence filter successively incorporates constraint...
IROS
2007
IEEE
126views Robotics» more  IROS 2007»
15 years 4 months ago
A graph theoretic approach to optimal target tracking for mobile robot teams
Abstract— In this paper, we present an optimization framework for target tracking with mobile robot teams. The target tracking problem is modeled as a generic semidefinite progr...
Jason C. Derenick, John R. Spletzer, M. Ani Hsieh
FGR
2000
IEEE
163views Biometrics» more  FGR 2000»
15 years 2 months ago
Tracking Interacting People
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
15 years 2 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
CVPR
2008
IEEE
15 years 4 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia