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» Pedestrian Detection in Crowded Scenes
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
SMC
2010
IEEE
148views Control Systems» more  SMC 2010»
13 years 5 months ago
A random finite set based detection and tracking using 3D LIDAR in dynamic environments
—In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment. The system can reliably detect and track pedestrians t...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma, D. ...
AVSS
2007
IEEE
14 years 1 months ago
Detection of abandoned objects in crowded environments
With concerns about terrorism and global security on the rise, it has become vital to have in place efficient threat detection systems that can detect and recognize potentially da...
Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, J...
ICPR
2008
IEEE
14 years 8 months ago
Real-time crowd motion analysis
Video-surveillance systems are becoming more and more autonomous in the detection and the reporting of abnormal events. In this context, this paper presents an approach to detect ...
Chabane Djeraba, Nacim Ihaddadene
CVPR
2011
IEEE
13 years 2 months ago
Monocular 3D Scene Understanding with Explicit Occlusion Reasoning
Scene understanding from a monocular, moving camera is a challenging problem with a number of applications including robotics and automotive safety. While recent systems have show...
Christian Wojek, Stefan Walk, Stefan Roth, Bernt S...