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Implementation of an Intelligent Visual Surveillance System Based on Embedded System  

Song, Jae-Min (경남대학교)
Kim, Dong-Jin (경남대학교)
Jung, Yong-Bae (경남대학교)
Park, Young-Seak (경남대학교 정보통신공학과)
Kim, Tae-Hyo (경남대학교 정보통신공학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.13, no.2, 2012 , pp. 83-90 More about this Journal
Abstract
In this paper, an intelligent visual surveillance system based on a NIOS II embedded platform is implemented. By this time, embedded based visual surveillance systems were restricted for a special purpose because of high dependence upon hardware. In order to improve the restriction, we implement a flexible embedded platform, which is available for various purpose of applications. For high speed processing of software based programming, we improved performance of the system which is integrated the SOPC type of NIOS II embedded processor and image processing algorithms by using software programming and C2H(The Altera NIOS II C-To-Hardware(C2H) Acceleration Compiler) compiler in the core of the hardware platform. Then, we constructed a server system which globally manage some devices by the NIOS II embedded processor platform, and included the control function on networks to increase efficiency for user. We tested and evaluated our system at the designated region for visual surveillance.
Keywords
embedded platform; intelligent visual surveillance; C2H compiler; NIOS II embedded processor; linux device driver; moving object tracking IP;
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