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ESANN
2007
14 years 11 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
ICIP
2006
IEEE
15 years 11 months ago
A Boosted Adaptive Particle Filter for Face Detection and Tracking
A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis ...
Wenlong Zheng, Suchendra M. Bhandarkar
ICIP
2006
IEEE
15 years 11 months ago
A Multi-Terminal Model-Based Video Compression Algorithm
We present a novel 3D model-based distributed video coding algorithm. It is based on independent, model-based tracking of multiple sources and distributed coding of the tracked fe...
Bi Song, Amit K. Roy Chowdhury, Ertem Tuncel
CVPR
2009
IEEE
16 years 5 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ICIP
2005
IEEE
15 years 11 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 ...