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» Markov Random Field Modeling in Computer Vision
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ICPR
2006
IEEE
14 years 10 months ago
Detection of Fence Climbing from Monocular Video
This paper presents a system that detects humans climbing fences. After extracting a binary blob contour, the system models the human with an extended star-skeleton representation...
Elden Yu, J. K. Aggarwal
ICCV
2005
IEEE
14 years 2 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
JMLR
2010
165views more  JMLR 2010»
13 years 3 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
WACV
2005
IEEE
14 years 2 months ago
Multi-View Face Tracking with Factorial and Switching HMM
Dynamic face pose change and noise make it difficult to track multi-view faces in a cluttering environment. In this paper, we propose a graphical model based method, which combin...
Peng Wang, Qiang Ji
CVPR
2009
IEEE
15 years 3 months ago
A Collaborative Benchmark for Region of Interest Detection Algorithms
This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed...
Tz-Huan Huang, Kai-Yin Cheng and Yung-Yu Chuang