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» A Probabilistic Background Model for Tracking
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BMVC
2000
15 years 3 months ago
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...
Jamie Sherrah, Shaogang Gong
CVPR
2004
IEEE
16 years 3 months ago
Gibbs Likelihoods for Bayesian Tracking
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
Stefan Roth, Leonid Sigal, Michael J. Black
AVSS
2009
IEEE
15 years 2 months ago
Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning
This paper presents a novel approach to vehicle detection in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to ...
Birgi Tamersoy, Jake K. Aggarwal
AINA
2005
IEEE
15 years 7 months ago
A Probabilistic Signal-Strength-Based Evaluation Methodology for Sensor Network Deployment
: The deployment of senor networks have attracted a lot of attention recently. In essence this issue is concerned with how well a sensing field is monitored by sensors to achieve ...
Sheng-Po Kuo, Yu-Chee Tseng, Fang-Jing Wu, Chun-Yu...
ICPR
2002
IEEE
15 years 6 months ago
A Robust Algorithm for Probabilistic Human Recognition From
Human recognition from video requires solving the two tasks, recognition and tracking, simultaneously. This leads to a parameterized time series state space model, representing bo...
Shaohua Kevin Zhou, Rama Chellappa