Method for collecting characteristics in telecommunication flow information video detection

A technology of video detection and acquisition method, which is applied in the direction of image communication, color TV parts, TV system parts, etc., and can solve the problems that images are easily affected by the environment, slow processing speed, and poor real-time performance

Active Publication Date: 2007-06-20
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0007] In order to overcome the shortcomings of the image in the feature tracking of the existing traffic flow video detection method that the image is easily affected by the environment, the real-time performance is poor, and th

Method used

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  • Method for collecting characteristics in telecommunication flow information video detection
  • Method for collecting characteristics in telecommunication flow information video detection
  • Method for collecting characteristics in telecommunication flow information video detection

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] With reference to Fig. 1, Fig. 2, a kind of feature acquisition method in the video detection of traffic flow information, this detection system includes camera, signal processor, each pixel processing described below is a series of input video image under fixed camera The sequence is {1, 2, ..., t, ...}, that is, in the t-th frame of the video image, the i-th pixel point X is processed i，t [R i，t , G i，t , B i，t ], where the probability density function of the kth Gaussian distribution is formula (1):

[0048]

[0049] The probability calculation formula of the current pixel point i is formula (2):

[0050] P ( X i , t ) = Σ i = ...

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Abstract

In the invention, the detecting system comprises a video camera and a signal processor. It uses an improved Gaussian mixture distribution model to characterize each pixel in image frame; the characterized feature only uses a brightness feature; if there isn't a moving object (vehicle), the video image is relatively static; each pixel obeys a statistic model along with time variation; when getting a new image frame, the Gaussian mixture distribution model is renewed, if the pixel in current image match the Gaussian mixture distribution model, then determining the pixel is a background point; otherwise, determining the pixel is a foreground point.

Description

(1) Technical field [0001] The invention relates to a video detection method for traffic flow information, in particular to a feature collection method in video detection. (2) Background technology [0002] The population and vehicles of the city are also increasing rapidly, the traffic flow is increasing day by day, the phenomenon of traffic congestion is becoming more and more serious, and the traffic system is facing huge pressure. Development has gradually become a global common problem. In the face of increasingly serious traffic problems, we cannot simply rely on measures such as building and rebuilding roads and adopting signal control to alleviate this situation. [0003] Traffic flow information collection is an important link in the intelligent transportation system. The collected information includes traffic flow, vehicle speed, vehicle classification, occupancy rate, traffic density, and vehicle queue length, vehicle turning, vehicle stop or accident information...

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Application Information

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IPC IPC(8): H04N5/14G06T7/20G01C11/36
Inventor 赵燕伟胡峰俊董红召
Owner ZHEJIANG UNIV OF TECH
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