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» Unsupervised detection of contours using a statistical model
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CVPR
1998
IEEE
15 years 12 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
CVPR
2004
IEEE
15 years 12 months ago
Detecting Unusual Activity in Video
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex activity models and no supervised feature selection...
Hua Zhong, Jianbo Shi, Mirkó Visontai
LCN
2007
IEEE
15 years 4 months ago
A Game-Theoretic Framework for Bandwidth Attacks and Statistical Defenses
Abstract—We introduce a game-theoretic framework for reasoning about bandwidth attacks, a common form of distributed denial of service (DDoS) attacks. In particular, our traffic...
Mark E. Snyder, Ravi Sundaram, Mayur Thakur
ISBI
2004
IEEE
15 years 10 months ago
Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups
The purpose of this work was to develop an automatic boundary detection method for mammographic masses and to observe the method's performance on different four of the five m...
Lisa Kinnard, Shih-Chung Ben Lo, Erini Makariou, T...
CVPR
2012
IEEE
13 years 3 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or