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» Selecting relevant features for human motion recognition
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ICASSP
2008
IEEE
14 years 2 months ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
SSPR
2004
Springer
14 years 1 months ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
ICPR
2008
IEEE
14 years 2 months ago
Human activity recognition from frame's spatiotemporal representation
This paper presents an approach for human activity recognition by representing the frames of the video sequence with the distribution of local motion features and their spatiotemp...
Zhipeng Zhao, Ahmed M. Elgammal
MVA
2007
185views Computer Vision» more  MVA 2007»
13 years 9 months ago
An Efficient Method for Human Behavior Identification
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
Fang-Hsuan Cheng, Fu-Tai Chen
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 5 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...