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ICPR
2008
IEEE
16 years 7 months ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali
CVPR
2009
IEEE
17 years 1 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...
TCSV
2010
15 years 1 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 7 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
CVPR
2010
IEEE
16 years 2 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino