Rapid detection identification method for specified pedestrian or vehicle in video monitoring network

Abstract

The invention relates to a rapid detection identification method for a specified pedestrian or vehicle in a video monitoring network. According to a target template provided by a user, accurate and rapid detection identification is carried out on a specified target in a monitoring network video. In the method, firstly, normalized scale change is carried out on a target template image and a plurality of kinds of mixed characteristics of the template image are calculated; a mixed Gaussian model is adopted to carry out background modeling on each monitoring video, and then parallel processing is carried out and area filtering and morphological postprocessing are used to extract motion foregrounds; normalized scale change is carried out on all motion foregrounds which meet a preliminary screening condition and a plurality of mixed characteristics are calculated and then weighted similarity distances between the motion foregrounds and the target template are calculated and first N objects, which are smaller than a judgment threshold and have smallest weighted similarity distances with the target template image, are returned and used as detection identification results. On the basis of ensuring the detection identification accuracy, the method significantly improves the processing speed of an algorithm through methods of parallel processing and frame skipping and the like.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a method for quickly detecting and identifying designated pedestrians or vehicles in a video surveillance network. Background technique [0002] In the field of intelligent surveillance, the detection and identification of designated pedestrians or vehicles in the surveillance video network can help public security organs quickly determine the time and location of the suspect or suspect vehicle, and speed up the efficiency of case investigation. However, due to changes in lighting conditions in actual application scenarios, parameter differences between different surveillance cameras, posture changes and mutual occlusion of moving objects (pedestrians, vehicles, etc.), and the size of pedestrians or vehicles in surveillance videos is usually small , details such as faces or license plates cannot be guaranteed, so how to quickly and accurately detect and identify de...

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a fast detection and recognition method for designated pedestrians or vehicles in a video surveillance network to solve the problem that the detection speed in the prior art is relatively slow, and offline training needs to be performed on the training set in advance in most cases

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