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» Robust Head Tracking Based on a Multi-State Particle Filter
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ICIP
2002
IEEE
13 years 12 months ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann
DAGM
2003
Springer
14 years 5 days ago
Color-Based Object Tracking in Multi-camera Environments
This paper presents a multi-view tracker, meant to operate in smart rooms that are equipped with multiple cameras. The cameras are assumed to be calibrated3 . In particular, we dem...
Katja Nummiaro, Esther Koller-Meier, Tomás ...
TITS
2008
262views more  TITS 2008»
13 years 6 months ago
Robust Lane Detection and Tracking in Challenging Scenarios
A lane-detection system is an important component of many intelligent transportation systems. We present a robust lane-detection-and-tracking algorithm to deal with challenging sce...
ZuWhan Kim
CVPR
2007
IEEE
14 years 9 months ago
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...

Publication
1301views
14 years 7 months ago
Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
We present an algorithm for multi-person tracking-bydetection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...