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» Adaptive Background Mixture Models for Real-Time Tracking
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ECCV
2006
Springer
14 years 9 months ago
Background Cut
Abstract. In this paper, we introduce background cut, a high quality and realtime foreground layer extraction algorithm. From a single video sequence with a moving foreground objec...
Jian Sun, Weiwei Zhang, Xiaoou Tang, Heung-Yeung S...
ICASSP
2009
IEEE
14 years 2 months ago
An iterative approach to monaural musical mixture de-soloing
In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instr...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
ICPR
2000
IEEE
14 years 8 months ago
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...
TCSV
2008
148views more  TCSV 2008»
13 years 7 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao
ICIP
2002
IEEE
14 years 9 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders