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» Anomaly detection in crowded scenes
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3DPVT
2006
IEEE
276views Visualization» more  3DPVT 2006»
14 years 3 months ago
Dynamic 3D Urban Scene Modeling Using Multiple Pushbroom Mosaics
In this paper, a unified, segmentation-based approach is proposed to deal with both stereo reconstruction and moving objects detection problems using multiple stereo mosaics. Each...
Hao Tang, Zhigang Zhu, George Wolberg

Publication
226views
12 years 8 months ago
Modelling Multi-object Activity by Gaussian Processes
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
Chen Change Loy, Tao Xiang, Shaogang Gong
CVIU
2008
229views more  CVIU 2008»
13 years 9 months ago
Estimating pedestrian counts in groups
The goal of this work is to provide a system which can aid in monitoring crowded urban environments, which often contain tight groups of people. In this paper, we consider the pro...
Prahlad Kilambi, Evan Ribnick, Ajay J. Joshi, Osam...
ECCV
2008
Springer
13 years 10 months ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Chang Huang, Bo Wu, Ramakant Nevatia
CVPR
2008
IEEE
14 years 11 months ago
Finding people in archive films through tracking
The goal of this work is to find all people in archive films. Challenges include low image quality, motion blur, partial occlusion, non-standard poses and crowded scenes. We base ...
Xiaofeng Ren