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» Activity based surveillance video content modelling
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ACCV
2010
Springer
13 years 10 months ago
Identifying Surprising Events in Videos Using Bayesian Topic Models
Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...
Avishai Hendel, Daphna Weinshall, Shmuel Peleg
MTA
2007
183views more  MTA 2007»
13 years 7 months ago
The design of a wireless real-time visual surveillance system
In this paper, we study the important issues in the design of an efficient WIreless real-time visual SurveillancE System (WISES). Two important considerations are to minimize: (1)...
Kam-yiu Lam, Calvin K. H. Chiu
ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
14 years 1 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...
ISCAS
2011
IEEE
237views Hardware» more  ISCAS 2011»
12 years 11 months ago
A new network-based algorithm for multi-camera abnormal activity detection
In this paper, a new abnormal activity detection algorithm is proposed for multi-camera surveillance applications. The proposed algorithm models the entire scene covered by the mu...
Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang L...
ICIP
2009
IEEE
13 years 5 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...