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ICPR
2008
IEEE
15 years 4 months ago
Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
Min Li, Zhaoxiang Zhang, Kaiqi Huang, Tieniu Tan
85
Voted
CVPR
2008
IEEE
15 years 11 months ago
Homography based multiple camera detection and tracking of people in a dense crowd
Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper ...
Ran Eshel, Yael Moses
ICCV
2007
IEEE
15 years 11 months ago
Event Detection in Crowded Videos
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segmen...
Yan Ke, Rahul Sukthankar, Martial Hebert
ICPR
2008
IEEE
15 years 4 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
108
Voted
CVPR
2011
IEEE
14 years 5 months ago
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
Bolei Zhou, Xiaogang Wang