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» Real-time abnormal motion detection in surveillance video
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ICPR
2008
IEEE
14 years 1 months ago
Spatio-temporal patches for night background modeling by subspace learning
In this paper, a novel background model on spatio-temporal patches is introduced for video surveillance, especially for night outdoor scene, where extreme lighting conditions ofte...
Youdong Zhao, Haifeng Gong, Liang Lin, Yunde Jia
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 7 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
ECCV
2010
Springer
13 years 7 months ago
A Data-Driven Approach for Event Prediction
When given a single static picture, humans can not only interpret the instantaneous content captured by the image, but also they are able to infer the chain of dynamic events that ...
Jenny Yuen, Antonio Torralba
CVPR
2012
IEEE
11 years 9 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
CVPR
2003
IEEE
14 years 1 days ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni