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AVSS
2005
IEEE
11 years 7 months ago
Clustering of human actions using invariant body shape descriptor and dynamic time warping
We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
MM
2003
ACM
241views Multimedia» more  MM 2003»
11 years 6 months ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
HUMO
2007
Springer
11 years 7 months ago
Human Action Recognition Using Distribution of Oriented Rectangular Patches
We describe a “bag-of-rectangles” method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by orien...
Nazli Ikizler, Pinar Duygulu
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
11 years 8 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...
MM
2009
ACM
252views Multimedia» more  MM 2009»
11 years 8 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
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