International Journal of Mathematics Trends and Technology
Volume 1 | Issue 1 | Year 2011 | Article Id. IJMTT-V1I1P5 | DOI : https://doi.org/10.14445/22315373/IJMTT-V1I1P5
Surveillance Recently, the use of security surveillance system including CCTV is increasing due to the increase of terrors and crimes. However as the data recorded through the video surveillance system is exposed, the invasion of privacy is raised. The studies on the technology of protecting privacy from the surveillance system in addition to these organizations are actively carried out. To distinguish the human of privacy protection, the identification technique is necessary. This paper proposes the human identification method that uses height and clothing-color information appropriate for the intelligent video surveillance system based on smartcard. It can obtain reliable feature information using smartcard. In this paper, representative colors are extracted by applying octree-based color quantization technique to the clothing region and height is extracted from the geometrical information of the images. Identification is accomplished by comparing the similarities between two data based on Euclidean distance. From the experiment, we could see that the identification of a human can be checked through the proposed system.
[1] Xiao Liu, Jun Gao, “Implementation of Transmitting 4Channel CIF Digit Video Through One BT.656 ParallelInterface a Using FPGA [J]”, Electronic Engineer, China,2006, 32(4), pp. 8-10
[2] Chu-Sing Yang, Ren-Hao Chen, and Chao-Yang Lee,“PTZ Camera Based Position Tracking in IP SurveillanceSystem[C]”, 3rd International Conference on SensingTechnology, Tainan, Taiwan, 2008, pp. 142-146.
[3] Hou-Jie Bi, “The new generation video compression coding standard— H.264/AVC [M]”, Posts & Telecom Press,China, 2005.
[4] Ying Wang, “H.264 Video Encoder Realization and Optimization Based on ADSP-BF561 [D]”, Xi’an Jiaotong University, 2007.
[5] Xiao-wei Huang, Ying Zhang, and Feng Chen, “H.264 Encoding Based on BF533 [J]”, Application of electronic technique, China, 2005, 31(8), pp. 41- 43.
G. Senthi Kumar, S.Ragu, N. Siva Kumar, "Embedded Video Surveillance With Real time Monitoring On Web," International Journal of Mathematics Trends and Technology (IJMTT), vol. 1, no. 1, pp. 46-49, 2011. Crossref, https://doi.org/10.14445/22315373/IJMTT-V1I1P5
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