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ACIVS
2007
Springer
13 years 11 months ago
Patch-Based Experiments with Object Classification in Video Surveillance
We present a patch-based algorithm for the purpose of object classification in video surveillance. Within detected regions-of-interest (ROIs) of moving objects in the scene, a feat...
Rob G. J. Wijnhoven, Peter H. N. de With
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 2 months 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
AVSS
2008
IEEE
13 years 8 months ago
An Integrated System for Moving Object Classification in Surveillance Videos
Moving object classification in far-field video is a key component of smart surveillance systems. In this paper, we propose a reliable system for person-vehicle classification whi...
Longbin Chen, Rogerio Feris, Yun Zhai, Lisa M. G. ...
ICCV
2009
IEEE
15 years 21 days ago
Efficient Privacy Preserving Video Surveillance
Widespread use of surveillance cameras in offices and other business establishments, pose a significant threat to the privacy of the employees and visitors. The challenge of int...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
PCM
2004
Springer
102views Multimedia» more  PCM 2004»
14 years 1 months ago
Background Modeling Using Phase Space for Day and Night Video Surveillance Systems
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background sc...
Yu-Ming Liang, Arthur Chun-Chieh Shih, Hsiao-Rong ...