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ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
79
Voted
ICPR
2002
IEEE
15 years 10 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...
PAMI
2008
132views more  PAMI 2008»
14 years 9 months ago
Trajectory Association across Multiple Airborne Cameras
A camera mounted on an aerial vehicle provides an excellent means to monitor large areas of a scene. Utilizing several such cameras on different aerial vehicles allows further flex...
Yaser Sheikh, Mubarak Shah
ICASSP
2011
IEEE
14 years 1 months ago
Color correction for object tracking across multiple cameras
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equi...
Satyam Srivastava, Ka Ki Ng, Edward J. Delp
91
Voted
ICIAR
2005
Springer
15 years 3 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar