Traffic Monitoring and Control Using Machine Vision: A Survey

IEEE Transactions on Industrial Electronics

Volumn IE-32, Issue 3, 1985, Pages 177-185

  Iñigo, Rafael M ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; VISION - ARTIFICIAL;

INCIDENT DETECTION; MACHINE VISION; TRAFFIC CONTROL AUTOMATION; VEHICLE TRACKING;

TRANSPORTATION;

EID: 0022103580     PISSN: 02780046     EISSN: 15579948     Source Type: Journal    
DOI: 10.1109/TIE.1985.350155     Document Type: Article

References (19)

1. [1] E. E. Hilbert et al., “Wide area detection system—conceptual design study,” JPL Interim Rep. for FHWA. Rep. FHWA-RD-77-86, Feb. 1978.
2. [2] A. P. Schlutmeyer et al., “Wide area detection system (WADS),” JPL publ. 83–15, Final Rep. FHWA, Sept. 1982.
3. [3] E. E. Hilbert, et al., “A sensor for control of arterial and networks.” IEEE Trans. Veh. Technol., vol. VT-29, May 1980.
4. [4] E. E. Hilbert, et al., “Sensor for control of arterials and networks (SCAN) bread-board hardware,” Final Rep. FHWA/RD-80/024, Oct. 1980.
5. [5] T. Abramczuk, “A TV-detector for motorway traffic flow,” Swedish Royal Institute of Technology, Stockholm, Sweden, Final Rep. of feasibility study, 1983.
6. [6] R. C. Waterfall and K. W. Dickinson, “Image processing applied to traffic, 2. Practical experience,” Traffic Engineering and Control, pp. 60–67, Feb. 1984.
7. [7] S. Takaba et al., “Measurement of traffic flow using real-time processing of moving pictures,” in Proc. 32nd Conf. on Vehic. Tech., San Diego, CA, pp. 488–494, 1982.
8. [8] S. Takaba and N. Koishi, “Real time simulation of road traffic flow,” in Summer Computer Conf., Vancouver, Canada, pp. 585–590, 1983.
9. [9] S. Takaba, “Measurement of flow of vehicles and pedestrians using real time processing of moving pictures,” in Proc. Int. Symp. on Image Proc. and Applic., Inst. of Indust. Science, Univ. of Tokyo., Tokyo, Japan, Jan. 1984.
10. [10] S. Takaba, T. Sekine, and R. Hwaug, “A traffic flow measuring system using a solid-state image sensor,” presented at the Int. Conf. on Road Traffic Data Collection, London, England, Dec. 1984.
11. [11] K. Shigeta, N. Ooyama, and S. Matsumoto, “A new traffic flow sensor using photoelectric conveting elements-operating principle and practical experiments,” Mech. Eng. Lab., Namiki Sakura-mura, Japan, Tech. Rep. vol. 35, no. 1, pp. 21–48 1981.
12. [12] N. Ooyama and K. Shigeta, “Area measurement of traffic flow using photoelectric elements,” in Proc. 4th IFAC/IFIP/IFORS Conf., Baden-Baden, FRG, pp. 281–287, April 20–22, 1983.
13. [13] Z. Houkes, “Measurement of speed and time headway of motor vehicles with videocamera and computer,” in Proc. 6th IFAC/IFIP Conf. and Digital Computer Applications to Process Control, pp. 231–237, Oct. 1980.
14. [14] Y. Kudo et al., “Traffic flow measurement system using image processing,” National Convention of IIP, Japan, 1981.
15. [15] H. Kono, “Simulator system for automatic pattern recognition of motor car shape,” in 8th Triennial World Congress of IFAC , Kyoto, Japan, pp. 2003–2007, Aug. 1981.
16. [16] T. Abramczuk, “A microcomputer based TV-detector for road traffic,” presented at the Symp. on Road Research Program, OECD, Tokyo, Japan, Oct. 1984.
17. [17] S. Takaba and N. Ooyama, “Traffic flow measuring system with image sensors,” presented at the Symp. on Road Research Program, OECD, Tokyo, Japan, Oct. 1984.
18. [18] D. P. Panda et al., “An automatic image recognition system for military image analysis,” in Proc. Open Sessions of the Workshop on Image Trackers and Autonomous Acquisition Applications for Missile Guidance, U.S. Army Missile Command, Redstone Arsenal, AL, Nov. 1979.
19. [19] R. Johnson, “Automatic target recognition fuses sensors and artificial intelligence,” Defense Electronics, Apr. 1984.