Robust human detection within a highly dynamic aquatic environment in real time

IEEE Transactions on Image Processing

Volumn 15, Issue 6, 2006, Pages 1583-1600

  Eng, How Lung ^a   Wang, Junxian ^b   Siew Wah, Alvin Harvey Kam ^c   Yau, Wei Yun ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b University of Nevada   (United States)

^c Oversea Chinese Banking Corporation Limited   (Singapore)

Author keywords

Adaptive background estimation; Background and foreground modeling; Dynamic aquatic background; Real time video surveillance; Robust human detection; Spatiotemporal filtering; Thresholding with hysteresis

Indexed keywords

COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; ESTIMATION; REAL TIME SYSTEMS; SIGNAL FILTERING AND PREDICTION; SWIMMING POOLS; VISIBILITY;

ADAPTIVE BACKGROUND ESTIMATION; DYNAMIC AQUATIC BACKGROUND; REAL-TIME VIDEO SURVEILLANCE; ROBUST HUMAN DETECTION; SPATIOTEMPORAL FILTERING;

EDGE DETECTION;

WATER;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MOVEMENT (PHYSIOLOGY); REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SWIMMING; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; CLUSTER ANALYSIS; COMPUTER SYSTEMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SWIMMING; VIDEO RECORDING; WATER;

EID: 33646860295     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.871119     Document Type: Article

References (39)

1. R. T. Collins, A. J. Lipton, and T. Kanade, "Introduction to the special section on video surveillance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 745-746, Aug. 2000.
2. C. Regazzoni, V. Ramesh, and G. L. Foresti, "Special issue on video communications, processing and understanding for third generation surveillance system," Proc. IEEE, vol. 89, no. 10, pp. 1355-1367, Oct. 2001.
3. I. Pavlidis, V. Morellas, P. Tsiamyrtzis, and S. Harp, "Urban surveillance systems: From the laboratory to the commercial world," Proc. IEEE, vol. 89, no. 10, pp. 1478-1497, Oct. 2001.
4. R. T. Collins, A. J. Lipton, H. Fujiyoshi, and T. Kanade, "Algorithms for cooperative multisensor surveillance," Proc. IEEE, vol. 89, no. 10, pp. 1456-1477, Oct. 2001.
5. E. F. Lyon, "The application of automatic surface lights to improve airport safety," IEEE Aerosp. Electron. Syst. Mag., vol. 8, no. 3, pp. 14-20, Mar. 1993.
6. G. Donohue, "Vision on aviation surveillance systems," in Proc. IEEE Int. Conf. Radar, 1995, pp. 1-4.
7. M. J. Cattle, "The use of digital CCTV in an airport car-park application," in Proc. IEEE Int. Carnahan Conf. Security Technology, 1995, pp. 180-185.
8. U. Urfer, "Integration of systems and services in central monitoring stations (CMS)," in Proc. IEEE Int. Carnahan Conf. Security Technology, 1995, pp. 343-350.
9. G. L. Foresti and B. Pani, "Monitoring motorway infrastructure for detection of dangerous events," in Proc. IEEE Int. Conf. Image Analysis and Processing, 1999, pp. 1144-1147.
10. G. L. Foresti, "A real-time system for video surveillance of unattended outdoor environments," IEEE Trans. Circuits Syst. Video Technol., vol. 8, no. 6, pp. 697-704, Jun. 1998.
11. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, vol. 2, 1999, pp. 246-252.
12. C. Stauffer and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 747-757, Aug. 2000.
13. N. Friedman and S. Rusell, "Image segmentation in video sequences: A probabilistic approach," in Proc. 13th Conf. Uncertainty in Artificial Intelligence, 1997, pp. 175-181.
14. I. Haritaoglu, D. Harwood, and L. S. Davis, "W4: Real-time surveillance of people and their activities," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 809-830, Aug. 2000.
15. E. Menoud, "Alarm and Monitoring Device for the Presumption of Bodies in Danger in a Swimming Pool," U.S. Patent 5 886 630, Mar. 1999.
16. J. Meniere, "System for Monitoring a Swimming Pool to Prevent Drowning Accidents," U.S. Patent 6 133 838, Oct. 2000.
17. F. Guichard, J. M. Lavest, B. Liege, and J. Meniere, "Poseidon technologies: The world's first and only computer-aided drowning detection system," presented at the IEEE Conf. Computer Vision Pattern Recognition, 2001, DT-8 (Demo Session).
18. J. M. Lavest, F. Guichard, and C. Rousseau, "Multi-view reconstruction combining underwater and air sensors," in Proc. IEEE Conf. Image Process., vol. 3, 2002, pp. 813-816.
19. H.-L. Eng, K.-A. Toh, A. H. Kam, J. Wang, and W.-Y. Yau, "An automatic drowning detection surveillance system for challenging outdoor pool environments," in Proc. IEEE Int. Conf. Computer Vision, vol. 1, 2003, pp. 532-539.
20. H.-L. Eng, J. Wang, A. H. Kam, and W.-Y. Yau, "Novel region-based modeling for human detection within highly dynamic aquatic environment," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, vol. 2, 2004, pp. 390-397.
21. A. H. Kam, W. Lu, and W.-Y. Yau, "A video-based drowning detection system," in Proc. Eur. Conf. Computer Vision, vol. 4, 2002, pp. 297-311.
22. W. Lu and Y. P. Tan, "A vision-based approach to early detection of drowning incidents in swimming pools," IEEE Trans. Circuit Syst. Video Technol., vol. 14, no. 2, pp. 159-178, Feb. 2004.
23. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.
24. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. New York: Wiley, 2001.
25. T. E. Boult, R. J. Micheals, X. Gao, and M. Eckmann, "Into the Woods: Visual surveillance of noncooperative and camouflaged targets in complex outdoor settings," Proc. IEEE, vol. 89, no. 10, pp. 1382-1402, Oct. 2001.
26. A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, Jul. 2002.
27. L. Wang, W. Hu, and T. Tan, "Recent developments of human motion analysis," Pattern Recognit., vol. 36, no. 3, pp. 585-601, 2003.
28. C. R. Wren, A. Azarbayejani, T. T. Darrell, and A. P. Pentland, "Pfinder: Real-time tracking of the human body," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 780-785, Jul. 1997.
29. D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russell, "Toward robust automatic traffic scene analysis in real-time," in Proc. Int. Conf. Computer Vision and Image Processing, vol. 1, 1994, pp. 126-131.
30. Y.-H. Hsu, H. H. Nagel, and G. Rekers, "New likelihood test methods for change detection in image sequences," Comput. Vis., Graph., Image Process., vol. 26, pp. 73-106, 1984.
31. T. Matsuyama, T. Ohya, and H. Habe, "Background subtraction for nonstationary scenes," in Proc. Asian Conf. Computer Vision, 2000, pp. 662-667.
32. H. Murase, "Surface shape reconstruction of a nonrigid transparent object using refraction and motion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 10, pp. 1045-1052, Oct. 1992.
33. M. Ben-Ezra and S. K. Nayar, "What does motion reveal about transparency?," in Proc. IEEE Int. Conf. Computer Vision, vol. 2, 2003, pp. 1025-1032.
34. D. Miyazaki, M. Kagesawa, and K. Ikeuchi, "Transparent surface modeling from a pair of polarization images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 1, pp. 73-82, Jan. 2004.
35. W. A. Shurcliff and S. S. Ballard, Polarized Light. Princeton, NJ: Van Nostrand, 1964.
36. Y. Y. Schechner, J. Shamir, and N. Kiryati, "Polarization and statistical analysis of scenes containing a semireflector," J. Opt. Soc. Amer. A, vol. 17, no. 2, pp. 276-284, 2000.
37. H. Fujikake, K. Takizawa, T. Aida, T. Negishi, and M. Kobayashi, "Video camera system using liquid-crystal polarizing filter to reduce reflected light," IEEE Trans. Broadcasting, vol. 44, no. 4, pp. 419-426, Dec. 1998.
38. S. C. Liu, C. W. Fu, and S. Chang, "Statistical change detection with moments under time-varying illumination," IEEE Trans. Image Process., vol. 7, no. 9, pp. 1258-1268, Sep. 1998.
39. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintaince," in Proc. Int. Conf. Computer Vision, vol. 1, 1999, pp. 255-261.