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ICPR
2006
IEEE
14 years 6 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
13 years 2 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
FGR
1998
IEEE
125views Biometrics» more  FGR 1998»
13 years 9 months ago
Recognizing Temporal Trajectories Using the Condensation Algorithm
The recognition of human gestures in image sequences isan importantand challengingproblem that enables a host of human-computerinteractionapplications. This paper describes an inc...
Michael J. Black, Allan D. Jepson
TSMC
2010
12 years 11 months ago
Adaptive Appearance Model and Condensation Algorithm for Robust Face Tracking
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley
ICIP
2006
IEEE
14 years 6 months ago
Aggregated Dynamic Background Modeling
Standard practices in background modeling learn a separate model for every pixel in the image. However, in dynamic scenes the connection between an observation and the place where...
Amit Adam, Ehud Rivlin, Ilan Shimshoni