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» Event Detection in Crowded Videos
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ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Semantic Event Extraction from Basketball Games using Multi-Modal Analysis
In this paper, we present a novel multi-modal framework for semantic event extraction from basketball games based on webcasting text and broadcast video. We propose novel approach...
Yifan Zhang, Changsheng Xu, Yong Rui, Jinqiao Wang...
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran
CVPR
2010
IEEE
14 years 3 months ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
CVPR
2009
IEEE
15 years 2 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
ICPR
2008
IEEE
14 years 1 months ago
Estimating the number of people in a video sequence via geometrical model
We propose a novel technique for estimating the number of people in a video sequence; it has the advantages of being stable even in crowded situations and needing no ground-truth ...
Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki H...