Omnidirectional Thermal Imaging Surveillance System Featuring Trespasser and Faint Detection

نویسندگان

  • Wai-Kit Wong
  • Zeh-Yang Chew
  • Hong-Liang Lim
چکیده

This paper proposed an efficient omnidirectional thermal imaging surveillance system featuring trespasser and faint detection. In this thermal imaging system, the omnidirectional scenes in a monitored site such as old folks home, nursing home, hospital etc. are first captured using a thermal camera attached to a custom made hyperbolic IR (infrared radiation) reflected mirror. The captured scenes to be monitored with trespasser or faint detection are then fed into a laptop computer for image processing and alarm purposes. Log-polar mapping is proposed to map the captured omnidirectional thermal image into panoramic image, hence providing the observer or image processing tools a complete wide angle of view. Two effective human behavioral detection algorithms namely: Human head detection algorithm and home alone faint detection algorithm are also designed for monitored the trespasser or fainted people detection. The observed significances of this new proposed omnidirectional thermal imaging system include: it can cover a wide angle of view (360o omnidirectional), using minimum hardware, low cost and the output thermal images are with higher data compression. Experimental results show that the proposed thermal imaging Wai-Kit Wong, Zeh-Yang Chew, Hong-Liang Lim, Chu-Kiong Loo & Way-Soong Lim International Journal of Image Processing (IJIP), Volume (4): Issue (6) 519 surveillance system achieves high accuracy in detecting trespasser and monitoring faint detection for health care purpose.

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تاریخ انتشار 2011