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AVSS
2008
IEEE
14 years 2 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
ECCV
2006
Springer
13 years 9 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
ICCV
2009
IEEE
15 years 17 days ago
Recognizing Actions by Shape-Motion Prototype Trees
A prototype-based approach is introduced for action recognition. The approach represents an action as a se- quence of prototypes for efficient and flexible action match- ing in ...
Zhe Lin, Zhuolin Jiang, Larry S. Davis
IIHMSP
2006
IEEE
136views Multimedia» more  IIHMSP 2006»
14 years 1 months ago
Boosted String Representation and Its Application to Video Surveillance
This paper presents a new behavior classification system for analyzing human movements directly from video sequences. First of all, we propose a triangulation-based method to tran...
Yung-Tai Hsu, Jun-Wei Hsieh
FGR
2004
IEEE
231views Biometrics» more  FGR 2004»
13 years 11 months ago
A Boosted Classifier Tree for Hand Shape Detection
The ability to detect a persons unconstrained hand in a natural video sequence has applications in sign language, gesture recognition and HCI. This paper presents a novel, unsuper...
Eng-Jon Ong, Richard Bowden