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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 2 days ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
PR
2008
328views more  PR 2008»
13 years 5 months ago
Activity based surveillance video content modelling
This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segment...
Tao Xiang, Shaogang Gong
TCSV
2011
13 years 21 days ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...
ICCV
2003
IEEE
14 years 7 months ago
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order...
Danny B. Yang, Héctor H. González-Ba...
ICIAP
2007
ACM
14 years 5 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