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http://dx.doi.org/10.5302/J.ICROS.2013.19.1.065

Smart Phone Based Image Processing Methods for Motion Detection of a Moving Object via a Network Camera  

Kim, Young Jin (Seoul National University of Science and Technology)
Kim, Dong Hwan (Seoul National University of Science and Technology)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.1, 2013 , pp. 65-71 More about this Journal
Abstract
In this work, new smart phone based moving target detection is proposed. In order to implement the task, methods of real time image transmission from network camera, motion detecting algorithm and its effective implementation are also addressed. The network camera transfers image data by MJPEG format which contains various information such as data and IP address, and the smart phone separates the image data received through a WiFi module. Later, the image data is converted to a Bitmap image format, and with the help of the embedded OpenCV library on a smart phone and algorithm, it was found that the moving object was identified effectively in terms of real time monitoring and detection.
Keywords
motion detection; smart phone; network camera; PTZ; MJPEG (Motion JPEG); JNI;
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  • Reference
1 OpenCV, Open source Computer Vision library. In http://opencv.willowgarage.com/wiki/, 2009.
2 G. Bradski and A. Kaehler "Learning OpenCV," O'Reilly Media, Inc., CA, USA, pp. 429-434, 2008.
3 H. Pang, L. Jiang, L. Yang, and K. Yue, "Research of android smart phone surveillance system," Int. Conf. on Computer Design And Applications, pp. 373-376, 2010.
4 E. Burnette, "Android basis tutorial," B. Zhang, C. Gao, and Y. Yang, Translation. Beijing: Posts & Telecom Press, pp. 11-189, 2009.
5 R. S. Deepthi and S. Sankaraiah, "Implementation of mobile platform using QT and open CV for image processing applications," IEEE Conf. on Open Systems, Langkawi, Malaysia, pp. 284-289, 2011.
6 E2ECIoud Studio, "Simple terms google android," Beijing: Posts & Telecom Press, pp. 39-256, 2009.
7 P. Hu, N. Symons, J. Indulska, and M. Portmann, "Wireless multi-hop video streaming using android phones," 8th IEEE PerCom Workshop on Pervasive Wireless Networking, pp. 782-787, 2012.
8 Y. Wang, J. F Doherty, and R. E. Vandyck, "Moving object tracking in video," AIPR, 29th Applied Imagery Recognition Workshop (AIPR'00), pp. 95-101, 2000.
9 K. M. Saipullah, A. Anuar, N. A. Ismail, and Y. Soo, "Real-time video processing using native programming on android platform," IEEE 8th Int. Colloquium on Signal Processing and its Applications, pp. 277-281, 2012.
10 K. C. Son and J. Y. Lee, "The method of android application speed up by using NDK," 3rd International Conference on Awareness Science and Technology (iCAST), pp. 382-385, 2011.
11 L. Chen and C. W. Lee, "The effects of mobility and redundancy on wireless video streaming over MANETs," Advanced Information Networking and Applications-Workshops, pp. 949-953, 2008.
12 C. C. Wang, M. J. Chi, and Y. T. Chang, "New watermarking algorithm with coding efficiency improvement and authentication in video surveillance," Fifth Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing, pp. 1253-1259, 2009.
13 C. H. Cho, K. Y. Min, and J. W. Chong, "A design of real-time MJPEG encoder for mobile communication devices," IEEK Conference, vol. 27, no. 1, pp. 1301-1304, 2004.
14 A. Anuar, K. M. Saipullah, N. A. Ismail, and Y. Soo, "OpenCV based real-time video processing using android smartphone," International Journal of Computer Technology and Electronics Engineering (IJCTEE), vol. 1, no. 3, pp. 58-62, 2012.