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» Detecting branching structures using local Gaussian models
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141
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TCS
2008
15 years 3 months ago
True-concurrency probabilistic models: Markov nets and a law of large numbers
We introduce the model of Markov nets, a probabilistic extension of safe Petri nets under the true-concurrency semantics--this means that traces, not firing sequences, are given a...
Samy Abbes, Albert Benveniste
198
Voted
CVPR
2009
IEEE
16 years 10 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
152
Voted
ICIP
2008
IEEE
15 years 10 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
142
Voted
ACCV
2006
Springer
15 years 9 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung
161
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NIPS
2004
15 years 5 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...