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ICPR
2008
IEEE
15 years 10 months ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann
CLEAR
2007
Springer
263views Biometrics» more  CLEAR 2007»
15 years 3 months ago
CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
15 years 1 months ago
Evaluation of USC Human Tracking System for Surveillance Videos
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
15 years 4 months ago
Graph-based robust shape matching for robotic application
— Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address...
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, Seong...
CVPR
2008
IEEE
15 years 11 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah