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» A Novel Human Gait Recognition Method by Segmenting and Extr...
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ICPR
2006
IEEE
14 years 5 months ago
A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature
Existing methods of gait recognition suffer from some shortcomings, which are discussed at the beginning of the full paper. In order to suppress these shortcomings as much as poss...
Yanmei Chai, Qing Wang, Jingping Jia, Rongchun Zha...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 6 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
ICPR
2010
IEEE
13 years 3 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
MLMI
2005
Springer
13 years 10 months ago
Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
José Luis Landabaso, Montse Pardàs
AMFG
2005
IEEE
155views Biometrics» more  AMFG 2005»
13 years 10 months ago
Linear Programming for Matching in Human Body Gesture Recognition
We present a novel human body gesture recognition method using a linear programming based matching scheme. Instead of attempting to segment an object from the background, we develo...
Hao Jiang, Ze-Nian Li, Mark S. Drew