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Sensors 2016, 16(7), 1010; doi:10.3390/s16071010

Robust Behavior Recognition in Intelligent Surveillance Environments

Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea
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Academic Editor: Vittorio M. N. Passaro
Received: 16 May 2016 / Revised: 17 June 2016 / Accepted: 25 June 2016 / Published: 30 June 2016
(This article belongs to the Section Physical Sensors)
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Abstract

Intelligent surveillance systems have been studied by many researchers. These systems should be operated in both daytime and nighttime, but objects are invisible in images captured by visible light camera during the night. Therefore, near infrared (NIR) cameras, thermal cameras (based on medium-wavelength infrared (MWIR), and long-wavelength infrared (LWIR) light) have been considered for usage during the nighttime as an alternative. Due to the usage during both daytime and nighttime, and the limitation of requiring an additional NIR illuminator (which should illuminate a wide area over a great distance) for NIR cameras during the nighttime, a dual system of visible light and thermal cameras is used in our research, and we propose a new behavior recognition in intelligent surveillance environments. Twelve datasets were compiled by collecting data in various environments, and they were used to obtain experimental results. The recognition accuracy of our method was found to be 97.6%, thereby confirming the ability of our method to outperform previous methods. View Full-Text
Keywords: intelligent surveillance system; visible light camera; thermal camera; behavior recognition intelligent surveillance system; visible light camera; thermal camera; behavior recognition
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Batchuluun, G.; Kim, Y.G.; Kim, J.H.; Hong, H.G.; Park, K.R. Robust Behavior Recognition in Intelligent Surveillance Environments. Sensors 2016, 16, 1010.

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