The invention discloses a video information based method for detecting vehicles at an intersection. The method comprises steps as follows: reading an initial frame of image of a traffic video; initializing background models; establishing a background for each pixel in an image; selecting data of the next frame of image; comparing and judging the gray value and the sample set of each x; performing binarization processing on the image; applying different update strategies for different conditions; updating sample sets of the background models; returning to Step 3 until video frames are ended. The method aims to solve problems of ghost areas, absorption of static targets as backgrounds and the like of the Vibe algorithm, update strategies for foreground points are improved, if a pixel point is detected as a foreground for 50 times continuously, the background model of the point is reinitialized, background models of 8 neighborhood points of the point are updated, and ablation of ghosts is accelerated; for the absorption of the static targets as background problem, background point update strategies are selected only, the background models are updated by the aid of the background point, the background models of 8 neighborhoods of the background point are updated, and the accuracy of detection of the vehicles at the intersection can be improved.
Video information based method for detecting vehicles at intersection
2015-09-30
Patent
Elektronische Ressource
Englisch
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