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CVPR
2009
IEEE
15 years 4 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...
ICCV
2007
IEEE
14 years 11 months ago
Learning to Find Object Boundaries Using Motion Cues
While great strides have been made in detecting and localizing specific objects in natural images, the bottom-up segmentation of unknown, generic objects remains a difficult chall...
Andrew N. Stein, Derek Hoiem, Martial Hebert
ECCV
2004
Springer
14 years 11 months ago
3D Human Body Tracking Using Deterministic Temporal Motion Models
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
Raquel Urtasun, Pascal Fua
ECCV
2006
Springer
14 years 11 months ago
A Tuned Eigenspace Technique for Articulated Motion Recognition
In this paper, we introduce a tuned eigenspace technique so as to classify human motion. The method presented here overcomes those problems related to articulated motion and dress...
M. Masudur Rahman, Antonio Robles-Kelly
ICIP
2009
IEEE
14 years 10 months ago
Lcd Motion Blur Reduction Using Fir Filter Banks
Due to the sample-and-hold nature of Liquid Crystal Display (LCD) image formation, LCDs suffer from motion picture blur. This is especially evident during scenes containing fast m...