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» Tracking with Multiple Cameras for Video Surveillance
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CLEAR
2006
Springer
230views Biometrics» more  CLEAR 2006»
15 years 3 months ago
An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR'06 Evaluation Dataset
We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter f...
Kai Nickel, Tobias Gehrig, Hazim Kemal Ekenel, Joh...
ICCV
2009
IEEE
14 years 9 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
105
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AVSS
2008
IEEE
15 years 6 months ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
CIVR
2009
Springer
229views Image Analysis» more  CIVR 2009»
15 years 6 months ago
A human-machine collaborative approach to tracking human movement in multi-camera video
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
Philip DeCamp, Deb Roy
EMMCVPR
2007
Springer
15 years 5 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann