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» Video Objects Segmentation by Robust Background Modeling
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ICIAP
2007
ACM
14 years 7 months ago
A Framework for False Positive Suppression in Video Segmentation
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
Min Han Tun, Geoff A. W. West, Tele Tan
MM
2004
ACM
208views Multimedia» more  MM 2004»
14 years 1 months ago
Fast and robust video clip search using index structure
Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present ...
Ling-Yu Duan, Junsong Yuan, Qi Tian, Changsheng Xu
CVPR
2012
IEEE
11 years 10 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang
ICIP
2004
IEEE
14 years 9 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
CVPR
2010
IEEE
13 years 4 months ago
Curious snakes: A minimum latency solution to the cluttered background problem in active contours
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony J. ...