Development of Monitoring and Simulation System of Human Tracking System Based On Mobile Agent Technologies
Authors: Kozo Tanigawa, Toshihiko Sasama, Kenichi Takahashi, Takao Kawamura, Kazunori Sugahara
Abstract:
In recent years, the number of the cases of information leaks is increasing. Companies and Research Institutions make various actions against information thefts and security accidents. One of the actions is adoption of the crime prevention system, including the monitoring system by surveillance cameras. In order to solve difficulties of multiple cameras monitoring, we develop the automatic human tracking system using mobile agents through multiple surveillance cameras to track target persons. In this paper, we develop the monitor which confirms mobile agents tracing target persons, and the simulator of video picture analysis to construct the tracking algorithm.
Keywords: Human tracking, mobile agent, monitoring, simulate.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335576
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[1] D. B. Lange and M. Oshima, “Seven good reasons for mobile agents,”
Communications of the ACM, vol. 42, no. 3, pp. 88– 89, 1999.
[2] H. Kakiuchi, T. Kawamura, T. Shimizu and K. Sugahara, An Algorithm
to Determine Neighbor Nodes for Automatic Human Tracking System,
2009 IEEE International Conference On Electro/Information
Technology, Wind- sor, Canada, 2009, pp. 96–102.
[3] Open Service Gateway Initiative Alliance, “OSGi Alliance Specifications
OSGi Service Platform Release 1”,
http://www.osgi.org/Specifications/HomePag, last access May 2011.
[Online].
[4] Y. Yao, C.-H Chen, B. Abidi, D. Page, A. Koschan and M. Abidi, Sensor
Planning for Automated and Persistent Object Tracking with Multiple
Cameras, CVPR2008, 2008.
[5] U.M.Erdem,S.Sclaroff,Automatedcameralayoutto satisfy task-specific
and floor plan-specific coverage requirements, CVIO2006, Vol.103,
No.3, 2006, pp. 156–169.
[6] D. G. Lowe, “Distinctive image features from scale-invariant keypoints,”
International Journal of Computer Vision, 2004, vol. 60, no. 2, pp.
91–110