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» Likelihood Map Fusion for Visual Object Tracking
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AVSS
2005
IEEE
14 years 1 months ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
ICIP
2005
IEEE
14 years 9 months ago
Tracking objects in video using motion and appearance models
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...
ECCV
2006
Springer
13 years 9 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
ECCV
2008
Springer
13 years 9 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Charles Bibby, Ian D. Reid
ICMCS
2009
IEEE
110views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Visual content layer for scalable object recognition in urban image databases
Rich online map interaction represents a useful tool to get multimedia information related to physical places. With this type of systems, users can automatically compute the optim...
Xavier Baró, Sergio Escalera, Petia Radeva,...