Smart Camera Technology to Support High Speed Video Processing in Vehicular Network 


Vol. 40,  No. 1, pp. 152-164, Jan.  2015


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  Abstract

A rapid development of semiconductors, sensors and mobile network technologies has enable that the embedded device includes high sensitivity sensors, wireless communication modules and a video processing module for vehicular environment, and many researchers have been actively studying the smart car technology combined on the high performance embedded devices. The vehicle is increased as the development of society, and the risk of accidents is increasing gradually. Thus, the advanced driver assistance system providing the vehicular status and the surrounding environment of the vehicle to the driver using various sensor data is actively studied. In this paper, we design and implement the smart vehicular camera device providing the V2X communication and gathering environment information. And we studied the method to create the metadata from a received video data and sensor data using video analysis algorithm. In addition, we invent S-ROI, D-ROI methods that set a region of interest in a video frame to improve calculation performance. We performed the performance evaluation for two ROI methods. As the result, we confirmed the video processing speed that S-ROI is 3.0 times and D-ROI is 4.8 times better than a full frame analysis.

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  Cite this article

[IEEE Style]

S. Son, T. Kim, Y. Jeon, Y. Baek, "Smart Camera Technology to Support High Speed Video Processing in Vehicular Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 1, pp. 152-164, 2015. DOI: .

[ACM Style]

Sanghyun Son, Taewook Kim, Yongsu Jeon, and Yunju Baek. 2015. Smart Camera Technology to Support High Speed Video Processing in Vehicular Network. The Journal of Korean Institute of Communications and Information Sciences, 40, 1, (2015), 152-164. DOI: .

[KICS Style]

Sanghyun Son, Taewook Kim, Yongsu Jeon, Yunju Baek, "Smart Camera Technology to Support High Speed Video Processing in Vehicular Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 1, pp. 152-164, 1. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880