A Specific Color Human Detection Method for Surveillance Video

Abstract

The invention relates to a specific color human body detection method oriented to surveillance videos. The method includes the following steps that firstly, video files are read through a computer, and key frames of the video files are decoded to obtain image data to be processed; secondly, areas having moving targets are obtained through an improved background subtraction method; thirdly, a classifier trained in advance is adopted for detecting whether specified color human body targets exit in the moving areas; finally, human body areas are sampled to verify whether the human body areas meet color conditions. A strategy used for processing on the basis of the key frames effectively reduces processing resources, shrinks the processing range and improves the processing efficiency. Similarities of edge contours, obtained through different methods, of the same area are compared, and the frequency of the situation that a background is mistakenly taken as a moving target is reduced effectively. By the combination of the key frames, the background is updated only when the moving areas are detected, and the processing speed can be further increased. Color verification is conducted on the basis of sampling point HSV information, so that detection accuracy is further ensured, the analysis range is shrunk, and the processing speed is also taken into account.

Description

technical field [0001] The invention belongs to the field of video image processing for public safety early warning, and in particular relates to a specific color human body detection method. Background technique [0002] Video surveillance is widely used in the field of public security, providing strong data support for early warning and verification of public security management. However, the level of intelligent analysis for surveillance video is relatively low at present, and there is no public technical means specifically for this application in terms of specific color human body detection for surveillance video. Specific color human body detection is mainly used to quickly screen or filter people wearing specified color clothing from massive surveillance videos, which can enhance the supervision efficiency of specific suspect targets by the public security department, and is useful for preventing and cracking down on crimes, tracking down suspects, and maintaining soci...

AI Technical Summary

Problems solved by technology

[0003] For each link in specific color human body detection, the existing methods such as patent 201410110812.1 use the ViBe algorithm to establish a background model for the video image frame, and segment the foreground area by combining the ViBe algorithm of the frame difference method. The update speed of this method is relatively slow; the patent 201110253323.8 uses edge detection and frame difference method for motion detection, and patent 201310586151.5 combines adjacent frame difference method and mixed Gaussian model to realize moving objects. The disadvantage of the above method is that it is prone to hollow areas; patent 201010218630.8 uses fuzzy templates to detect multiple poses Human body, patent 201310415544.X human body detection method based on color and depth information, the features obtained by joint feature extraction are used for human body detection, the speed of the above method is relatively slow; patent 201110026465.0 is based on depth image for human body detection, not suitable for conventional surveillance video images

Images