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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(2): 79-86 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1116

Real-Time Action Recognition System from a First-Person View Video Stream

Maxim Maximov, Sang-Rok Oh, and Myong Soo Park
Abstract—This paper presents an approach to recognizing people’s actions directed towards a robot, from a video collected by a camera positioned on the robot. Our approach has two modes: “stand by” mode – when a system waits for an action to start and “active” mode – when the system recognizes actions from the video stream. “Stand by” mode allows to save resources during an absence of actions and also gives a starting point of an action, which helps for recognition. Our action recognition model is based on a Bag-of-Words model, but we utilized sparse features in order to process video frames faster. As a result, the system implemented with this approach could continuously recognize actions in real-time using fewer computations. The performance of our method was experimentally evaluated and the results are given at the end of the paper.

Index Terms—Human action recognition, real-time video processing, bag-of-words, computer vision.

M. Maximov is with the Interaction & Robotics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea and also with Korea University of Science and Technology, Republic of Korea (e-mail: maxsqr@gmail.com).
S. R. Oh is with Korea Institute of Science and Technology, Seoul, Republic of Korea (e-mail: sroh@kist.re.kr).
M. S. Park is with the Interaction & Robotics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea (e-mail: meister1@gmail.com).

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Cite:Maxim Maximov, Sang-Rok Oh, and Myong Soo Park, "Real-Time Action Recognition System from a First-Person View Video Stream," International Journal of Computer Theory and Engineering vol. 9, no. 2, pp. 79-86, 2017.

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