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» A Trainable System for Object Detection
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Publication
283views
13 years 8 months ago
Security and Surveillance
Human eyes are highly efficient devices for scanning through a large quantity of low-level visual sensory data and delivering selective information to one’s brain for high-level...
Shaogang Gong, Chen Change Loy, Tao Xiang
ICCV
1999
IEEE
15 years 11 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille
ICPR
2006
IEEE
15 years 11 months ago
Modification of the AdaBoost-based Detector for Partially Occluded Faces
While face detection seems a solved problem under general conditions, most state-of-the-art systems degrade rapidly when faces are partially occluded by other objects. This paper ...
Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, ...
WWW
2004
ACM
15 years 10 months ago
Composite events for xml
Recently, active behavior has received attention in the XML field to automatically react to occurred events. Aside from proprietary approaches for enriching XML with active behavi...
Martin Bernauer, Gerti Kappel, Gerhard Kramler
ICIP
2008
IEEE
15 years 4 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu