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» Adaptive object tracking by learning background context
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ICPR
2006
IEEE
15 years 5 months ago
A Pixel-wise Object Tracking Algorithm with Target and Background Sample
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
MVA
2002
195views Computer Vision» more  MVA 2002»
14 years 11 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
14 years 9 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop
ECCV
2008
Springer
16 years 1 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
PAMI
2000
325views more  PAMI 2000»
14 years 11 months ago
Learning Patterns of Activity Using Real-Time Tracking
Chris Stauffer, W. Eric L. Grimson