Method and apparatus of removing foreground detection result shadows

Abstract

The invention discloses a method of removing foreground detection result shadows, comprising: obtaining a grey-scale map and a foreground detection map from an input original map to obtain the shadow candidate zone in the grey-scale map; removing the background of the grey-scale map to obtain a foreground grey-scale map; calculating the texture statistical characteristic number of each pixel row in a horizontal direction according to the foreground grey-scale map, and calculating the texture statistical characteristic number of each pixel column in a vertical direction; finding a segmentation position by utilizing the texture statistical characteristic numbers; and respectively calculating the ratio between each shadow candidate zone on two sides of the segmentation position in the grey-scale map and a foreground pixel, and selecting the side with a greater ratio out of two sides on the segmentation position as a shadow to remove. The invention also discloses a corresponding apparatus. The method and apparatus can effectively reduce the shadow false drop rate in a foreground detection result, avoid the error checking of a non shadow zone as a shadow zone, increase shadow identification accuracy, and thereby facilitate the improvement of subsequent processing efficiency.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for removing the shadow of a foreground detection result. Background technique [0002] Since the shadow has the same motion characteristics as the moving object, it is usually misdetected as the foreground. The shadow in the video image is one of the key factors affecting the detection effect of the moving object. The detection and elimination of the shadow has become an important research in motion detection. content. If the shadow merges with the moving object, it will affect the geometric characteristics of the target; if the shadow is separated from the moving object, it is easy to be misdetected as a new target. These false detections have a great impact on the classification, tracking and behavior analysis of high-level moving objects, so it is of great significance to eliminate shadows in the process of moving object detection. At present, there is no...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of high false detection rate in shadow areas in the prior art, the present invention provides a method to reduce the probability of false detection in shadow areas

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