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ICPR
2004
IEEE
16 years 5 months ago
Semantic Object Segmentation by a Spatio-Temporal MRF Model
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
Wei Zeng, Wen Gao
153
Voted
ICIP
2001
IEEE
16 years 6 months ago
Region-based active contours for video object segmentation with camera compensation
In this paper, we present a new algorithm for the segmentation of moving objects in a video sequence acquired by a mobile camera using region-based active contours. Indeed, active...
Gilles Aubert, Michel Barlaud, Stéphanie Je...
ICCV
2003
IEEE
16 years 6 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
124
Voted
CPAIOR
2004
Springer
15 years 10 months ago
Scheduling Abstractions for Local Search
ng Abstractions for Local Search Pascal Van Hentenryck1 and Laurent Michel2 1 Brown University, Box 1910, Providence, RI 02912 2 University of Connecticut, Storrs, CT 06269-3155 Ab...
Pascal Van Hentenryck, Laurent Michel
ICPR
2004
IEEE
16 years 5 months ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan