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» The Trace Model for Object Detection and Tracking
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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 ...
CGVR
2006
14 years 11 months ago
Calibration-free Line-based Tracking for Video Augmentation
This paper presents a calibration-free line-based tracking method to augment virtual objects into a video sequence. The presented method uses a cube on the first image to calibrat...
Bolan Jiang
ICCV
2009
IEEE
14 years 7 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
IJIG
2002
189views more  IJIG 2002»
14 years 9 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
CVPR
2008
IEEE
15 years 11 months ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...