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» Midground object detection in real world video scenes
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CVPR
2009
IEEE
15 years 2 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
CVPR
2005
IEEE
14 years 9 months ago
A Hybrid Graphical Model for Robust Feature Extraction from Video
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
Ali Taylan Cemgil, Wojciech Zajdel, Ben J. A. Kr&o...
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...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 11 months ago
Tracking multiple objects in non-stationary video
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
Hoang Nguyen, Bir Bhanu
IVC
2006
171views more  IVC 2006»
13 years 7 months ago
Extracting 3D information from broadcast soccer video
In this paper, we propose a new method to estimate players' and ball's positions from monocular broadcast soccer video. With the relationship between objects and the cam...
Yang Liu, Dawei Liang, Qingming Huang, Wen Gao