Human Posture Recognition Based on DAG-SVMS

Shuang Mei Wang; Yi Gao; Li Luo

doi:10.4028/www.scientific.net/AMR.1042.117

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1042Human Posture Recognition Based on DAG-SVMS

Human Posture Recognition Based on DAG-SVMS

Abstract:

A posture feature extraction and recognition method in monitoring environment is proposed in this paper which can recognize human shapes and analyze human postures. First contours of moving objects are extracted from two frames of a consecutive monitoring video. Then feature parameters are calculated from boundary contours to construct feature vector. In order to classify moving object and human and analyze postures, a DAG-SVMS is constructed by training 100 sample images. Results demonstrate the validity of this method.

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Periodical:

Advanced Materials Research (Volume 1042)

Pages:

117-120

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1042.117

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Online since:

October 2014

Authors:

Shuang Mei Wang*, Yi Gao, Li Luo

Keywords:

DAG-SVMS, Feature Extraction, Human Detection, Motion Analysis, Posture Recognition

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