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» Robust Occlusion Handling in Object Tracking
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CVPR
2008
IEEE
14 years 9 months ago
A mobile vision system for robust multi-person tracking
We present a mobile vision system for multi-person tracking in busy environments. Specifically, the system integrates continuous visual odometry computation with tracking-bydetect...
Andreas Ess, Bastian Leibe, Konrad Schindler, Luc ...
SETN
2010
Springer
13 years 5 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
15 years 15 days 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 ...
ECCV
2006
Springer
13 years 11 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
JMM2
2007
212views more  JMM2 2007»
13 years 7 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...