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

A technology of video monitoring and recognition method, which is applied in the field of rapid detection and recognition of designated pedestrians or vehicles, and can solve problems such as slow detection speed

Active Publication Date: 2014-11-26
ZHEJIANG UNIV
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  • Abstract
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  • Application Information

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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 t

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

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Example Embodiment

[0078] Example

[0079] The software environment selected by the present invention: Windows7.0 operating system, VS2010 development platform, C / C++ development language, OpenCV2.3.1 development package.

[0080] This embodiment processes a monitoring network. The video scene in the surveillance network is relatively complex, with a large number of moving objects, and there will be mutual occlusion between the moving objects. Due to the parameter and position relationship between the cameras, there are also changes in illumination and color difference.

[0081] Please see figure 1 The technical solution adopted by the present invention is: a method for rapid detection and identification of designated pedestrians or vehicles in a video surveillance network, including the following steps:

[0082] Step 1: First, frame the target to be detected from the picture or video containing the designated pedestrian or vehicle by means of rectangular frame calibration;

[0083] The user provides a ...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T5/40
Inventor 于慧敏谢奕郑伟伟汪东旭
Owner ZHEJIANG UNIV
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