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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 11 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
CVPR
2008
IEEE
16 years 8 months ago
Action recognition using ballistic dynamics
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
Shiv Naga Prasad Vitaladevuni, Vili Kellokumpu, La...
ICCV
2007
IEEE
16 years 8 months ago
Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians
We present a unified method for simultaneously acquiring both the location and the silhouette shape of people in outdoor scenes. The proposed algorithm integrates top-down and bot...
Vinay Sharma, James W. Davis
ICPR
2008
IEEE
16 years 7 months ago
Motion capture data retrieval using an artist's doll
In this paper, we present a keyframe-based human motion capture data retrieval system which uses a wooden doll as the input device. A user inputs a keyframe by posing an artist�...
Bolan Jiang, James Davis, Prabath Gunawardane, Tie...
ICPR
2000
IEEE
16 years 7 months ago
Growing Gaussian Mixture Models for Pose Invariant Face Recognition
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
Ralph Gross, Jie Yang, Alex Waibel
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