Traffic density analysis method based on encoded video

Details Traffic density analysis method based on encoded video Traffic density analysis method based on encoded video

2005-12-13

2005-12-13

Miriam, Daniel (Department: 2625)

Image analysis

Applications

Vehicle or traffic control

C382S236000, C340S917000, C348S113000

Reexamination Certificate

active

06975749

ABSTRACT:
A traffic density analysis method includes decoding encoded video data corresponding to an analysis region to obtain a decoded video signal and code information, determining a moving object in units of a macroblock on the basis of the decoded video signal, the code information and a previously decoded video signal, analyzing a macroblock determined as the moving object, setting a specific region in a screen using an analysis result of the macroblock, and estimating a traffic density in the analysis region from information related to the moving object passing through the specific region.

REFERENCES:
patent: 3659085 (1972-04-01), Potter et al.
patent: 5598216 (1997-01-01), Lee
patent: 5774569 (1998-06-01), Waldenmaier
patent: 6011564 (2000-01-01), Furuhashi et al.
patent: 6411328 (2002-06-01), Franke et al.
patent: 6452579 (2002-09-01), Itoh et al.
patent: 6498816 (2002-12-01), Easwar et al.
patent: 6757328 (2004-06-01), Huang et al.
Naohiro Amamoto, et al., Electronics and Communications in Japan, vol. J81-A, No. 4, pp. 527-535, “Detecting Obstructions and Tracking Moving Objects by Image Processing Technique”, Apr. 1998 (with corresponding English translation: Electronics and Communications in Japan, Part 3, vol. 82, No. 11, pp. 28-37, 1999).

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