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» Data-driven Crowd Analysis in Videos
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ICPR
2010
IEEE
14 years 1 months ago
A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video
In this paper, we develop a neurobiologicallymotivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and ef...
Ricky Sethi, Amit Roy-Chowdhury
CVPR
2009
IEEE
15 years 3 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...
ECCV
2010
Springer
14 years 1 months ago
A Streakline Representation of Flow in Crowded Scenes
Based on the Lagrangian framework for fluid dynamics, a streakline representation of flow is presented to solve computer vision problems involving crowd and traffic flow. Streakl...
Ramin Mehran, Brian E. Moore, Mubarak Shah
ICPR
2008
IEEE
14 years 2 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
ICASSP
2010
IEEE
13 years 8 months ago
Model-level data-driven sub-units for signs in videos of continuous Sign Language
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
Stavros Theodorakis, Vassilis Pitsikalis, Petros M...