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http://dx.doi.org/10.9717/kmms.2018.21.12.1473

Human Action Recognition Based on An Improved Combined Feature Representation  

Zhang, Ning (Dept. of Information Communication Engineering, Tongmyong University)
Lee, Eung-Joo (Dept. of Information Communication Engineering, Tongmyong University)
Publication Information
Journal of Korea Multimedia Society / v.21, no.12, 2018 , pp. 1473-1480 More about this Journal
Abstract
The extraction and recognition of human motion characteristics need to combine biometrics to determine and judge human behavior in the movement and distinguish individual identities. The so-called biometric technology, the specific operation is the use of the body's inherent biological characteristics of individual identity authentication, the most noteworthy feature is the invariance and uniqueness. In the past, the behavior recognition technology based on the single characteristic was too restrictive, in this paper, we proposed a mixed feature which combined global silhouette feature and local optical flow feature, and this combined representation was used for human action recognition. And we will use the KTH database to train and test the recognition system. Experiments have been very desirable results.
Keywords
Computer Vision; Action Recognition; Global Silhouette; Local Optical;
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Times Cited By KSCI : 1  (Citation Analysis)
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