A fast detection and recognition method for designated pedestrians or vehicles in video surveillance network

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

Active Publication Date: 2017-06-23
ZHEJIANG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A fast detection and recognition method for designated pedestrians or vehicles in video surveillance network
  • A fast detection and recognition method for designated pedestrians or vehicles in video surveillance network
  • A fast detection and recognition method for designated pedestrians or vehicles in video surveillance network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

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

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

[0081] please see figure 1 , the technical solution adopted in the present invention is: a method for quickly detecting and identifying designated pedestrians or vehicles in a video surveillance network, comprising the following steps:

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

[0083] The user provides pic...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T5/40
Inventor 于慧敏谢奕郑伟伟汪东旭
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products