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Omnidirectional Thermal Imaging Surveillance System Featuring Trespasser and Faint Detection
Wong Wai Kit, Zeh-Yang Chew, Hong-Liang Lim, Chu-Kiong Loo, Way-Soong Lim
Pages - 518 - 538     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 4   Issue - 6    |    Publication Date - January / February  Table of Contents
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KEYWORDS
Monitoring and surveillance, thermal imaging system, trespasser detection, faint detection, omnidirectional system, image processing and understanding
ABSTRACT
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 surveillance system achieves high accuracy in detecting trespasser and monitoring faint detection for health care purpose.
CITED BY (3)  
1 Kim, S. (2015). Sea-Based Infrared Scene Interpretation by Background Type Classification and Coastal Region Detection for Small Target Detection. Sensors, 15(9), 24487-24513.
2 Wong, W. K., Loo, C. K., & Lim, W. S. (2013). Omnidirectional Human Intrusion Detection System Using Computer Vision Techniques. Effective Surveillance for Homeland Security: Balancing Technology and Social Issues, 435-439.
3 Kannegulla, A., Reddy, A. S., Sudhir, K. S., & Singh, S. Thermal Imaging system for Precise Traffic Control and Surveillance.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Socol@r  
6 Scribd 
7 WorldCat 
8 SlideShare 
9 PdfSR 
1 A. Hampapur, L. Brown, J. Connell, S. Pankanti, A. Senior et al., “Smart Surveillance: Applications, Technologies and Implications”, Information, Communications and Signal Processing, Vol. 2, p.p. 1133-1138.
2 A. Hampapur, L. Brown, J. Connell, A. Ekin, N. Haas, M. Lu et al., “Smart Video Surveillance”, IEEE Signal Processing Mag., March 2005, p.p. 39-51.
3 M.W. Green, “The appropriate and effective use of security technologies in U.S. schools, A guide for schools and law enforcement agencies”, Sandia National Laboratories, Albuquerque, NM, NCJ 178265, Sep 1999.
4 C. Shu, A. Hampapur, M. Lu, L. Brown, J. Connell et al., “IBM Smart Surveillance System (S3): A Open and Extensible Framework for Event Based Surveillance”, in Advanced Video and Signal Based Surveillance (AVSS 2005), 2005, p.p. 318-323.
5 C. Lu, and M. S. Drew, “Automatic Compensation for Camera Settings for ImagesTaken Under Different Illuminants”, Technical paper, School of Computer Science, Simon Fraser University, Vancouver, British Columbia, Canada, 2007, p.p. 1-5.
6 Thermographic camera. Retrieved from Wikipedia, the free encyclopedia Web Site: http://en.wikipedia.org/wiki/Thermal_camera.
7 W.K. Wong, P.N. Tan, C.K. Loo and W.S. Lim, “An Effective Surveillance System Using Thermal Camera”, 2009 International Conference on Signal Acquisition and Processing (ICSAP2009) 3-5 Apr, 2009, Kuala Lumpur, Malaysia, p.p. 13-17.
8 M.R. Narayanan, S.R. Lord, M.M. Budge, B.G. Cellar and N.H. Novell, “Falls Management: Detection and Prevention, using a Waist-mounted Triaxial Accelerometer”, 29 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, p.p.4037-4040.
9 J. Han and B. Bhanu, “Fusion of color and infrared video for moving human detection”, ACM Portal, Pattern Recognition, p.p. 1771-1784.
10 J. Chahl and M. Srinivasan, “Reflective surfaces for panoramic imaging”, Applied Optics, 36(31), Nov 1997, p.p.8275-85.
11 S. Gachter, “Mirror Design for an Omnidirectional Camera with a Uniform Cylindrical Projection when Using the SVAVISCA Sensor”, Research Reports of CMP, OMNIVIEWS Project, Czech Technical University in Prague, No. 3, 2001. Redirected from: http://cmp.felk.cvut.cz/projects/omniviews/
12 T. Svoboda, Central Panoramic Cameras Design, Geometry, Egomotion. PhD Theses, Center of Machine Perception, Czech Technical University in Prague, 1999.
13 http://www.flirthemography.com
14 J.W. Davis and V. Sharma, “Background-Subtraction in Thermal Imagery Using Contour Saliency”, International Journal of Computer Vision 71(2), 2007, p.p. 161-181.
15 H. Araujo, J. M. Dias, “An Introduction To The Log-polar Mapping”, Proceedings of 2nd Workshop on Cybernetic Vision, 1996, p.p. 139-144.
16 C. F. R. Weiman and G. Chaikin, “Logarithmic Spiral Grids For Image Processing And Display”, Computer Graphics and Image Processing, Vol. 11, 1979, p.p. 197-226.
17 LIRA Lab, Document on specification, Tech. report, Espirit Project n. 31951 – SVAVISCA- available at http://www.lira.dist.unige.it.
18 R. Wodnicki, G. W. Roberts, and M. D. Levine, “A foveated image sensor in standard CMOS technology”, Custom Integrated Circuits Conf. Santa Clara, May 1995, p.p. 357-360.
19 F. Jurie, “A new log-polar mapping for space variant imaging: Application to face detection and tracking”, Pattern Recognition,Elsevier Science, 32:55, 1999, p.p. 865-875.
20 V. J. Traver, “Motion estimation algorithms in log-polar images and application to monocular active tracking”, PhD thesis, Dep. Llenguatges.
21 R. Wodnicki, G. W. Roberts, and M. D. Levine, “A foveated image sensor in standard CMOS technology”, Custom Integrated Circuits Conf. Santa Clara, May 1995, p.p. 357-360.
22 Ling Hooi Lee, “Smart Surveillance Using Image Processing and Computer Vision Techniques.”, Bachelor Degree thesis, Multimedia University, Melaka, Malaysia.
23 J. Owens, A. Hunter and E. Fletcher, “A Fast Model–Free Morphology–Based Object Tracking Algorithm”, British Machine Vision Conference, 2002,p.p. 767-776 .
Mr. Wong Wai Kit
Multimedia University - Malaysia
wkwong@mmu.edu.my
Mr. Zeh-Yang Chew
Multimedia University - Malaysia
Mr. Hong-Liang Lim
- Malaysia
Mr. Chu-Kiong Loo
- Malaysia
Mr. Way-Soong Lim
- Malaysia