||In order to solve the problem of integrating, deploying, and time-consuming developing video surveillance system, this research is to conduct a cloud computing-based intelligent video monitoring platform which includes GVM, GPP editor, video surveillance software, and OpenCV middleware services.|
Developer is able to monitor web cam remotely and receive the change of monitoring area via our video surveillance software. And, the tool helps to apply GPP application system on cloud, no matter in the environment of private clouds, public clouds or hybrid clouds. Additionally, developer is able to develop customized image processing and analysis via OpenCV function from GVM middleware. You can also use GPP editor to write GPP application program and generate coding table which will be sent to GVM over the network. Then, GVM kernel will interpret the coding table and execute all the discrete state, actions and transfer conditions.
After validation, adopting this platform simplifies the difficulty of design and deployment system. Even developer is not professional programmer, he can implement GPP application development quickly. With GVM, developer posts updates any time and expand functions.
||Open Source Computer Vision Library：2012年6月1日,取自 http://www.opencv.org.cn/index.php/%E9%A6%96%E9%A1%B5|
I. Foster, C. Kesselman, J.M. Nick and S. Tuecke, “Grid Services for Distributed System Integration,” IEEE Journals on Computer, Vol. 35, pp. 37-46, June 2002
I. Foster, “The Anatomy of the Grid: Enabling Scalable Virtual Organizations,” IEEE/ACM International Symposium on Cluster Computing and the Grid, pp. 6-7, 2001
The NIST Definition of Cloud Computing：2012年6月1日,取自 http://csrc.nist.gov/publications/PubsSPs.html#800-145
H. Schulzrinne, A. Rao and R. Lanphier, “Real Time Streaming Protocol (RTSP),” RFC 2326, Internet Engineering Task Force, Feb 1998
柳家瑋, “基於GRAFCET虛擬機器之無線感測制動網路,” 國立中央大學資訊工程學系碩士論文，2011
陳慶瀚, “GRAFCET離散事件建模,” MIAT實驗室講義, Sep. 2009
彭顗霖, “遺失物偵測且具回報能力之視訊監控系統,” 國立中央大學資訊工程學系碩士論文，2009
T. Mita, T. Kaneko and O. Hori, “Joint Haar-like features for face detection,” IEEE International Conference on Computer Vision, Vol. 2, pp. 1619-1626, 2005
R. Lienhart and J. Maydt, “An extended set of haar-like features for rapid object detection,” IEEE International Conference on Image Processing, Vol. 1, pp. 900–903, 2002
V. Capellini, L. Mattii and A Mecocci, “An intelligent system for automatic fire detection in forests,” IEEE International Conference on Image Processing and its Applications, pp. 563-570, 1989
彭聖傑, “以全域及區域特徵基礎之煙霧偵測,” 國立交通大學生醫工程研究所碩士論文，2010
高政良, “具火災偵測之追蹤式數位錄影系統之研究,” 南台科技大學電子工程研究所碩士論文，2002