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AVSS
2006
IEEE
14 years 3 months ago
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...
Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...
CVPR
2003
IEEE
14 years 3 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
CORR
2010
Springer
188views Education» more  CORR 2010»
13 years 10 months ago
A physically-based particle model of emergent crowd behaviors
This paper presents a modeling process in order to produce a realistic simulation of crowds in the ancient Greek agora of Argos. This place was a social theater in which two kinds...
Laure Heïgéas, Annie Luciani, Joë...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
12 years 9 days ago
Harnessing the wisdom of the crowds for accurate web page clipping
Clipping Web pages, namely extracting the informative clips (areas) from Web pages, has many applications, such as Web printing and e-reading on small handheld devices. Although m...
Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Li...
CVPR
2007
IEEE
14 years 12 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele