Monitoring video pedestrian recognition and tracking method and device and storage medium

A pedestrian recognition and surveillance video technology, applied in the field of image processing, can solve the problems of unstable tracking, insufficient pedestrian detection speed and accuracy in surveillance video, etc., to achieve real-time pedestrian detection, improve calculation speed and accuracy, and improve reliability. Effect

Pending Publication Date: 2021-01-22
SHENZHEN WEIBU INFORMATION
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the object of the present invention is to provide a surveillance video pedestrian recognition and tracking method, devic

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
  • Monitoring video pedestrian recognition and tracking method and device and storage medium
  • Monitoring video pedestrian recognition and tracking method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the objectives, technical solutions and effects of the present invention clearer and clearer, the present invention will be described in further detail below. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. The embodiments of the present invention are described below with reference to the accompanying drawings.

[0039] see figure 1 , figure 1 This is a flow chart of a preferred embodiment of the method for pedestrian identification and tracking in surveillance video provided by the present invention. like figure 1 shown, it includes the following steps:

[0040] S100, constructing an SSD target detection model, where the SSD target detection model includes a MobileNet cascaded neural network and a feature extraction network that are pre-trained;

[0041] S200, decode the surveillance video to obtain image data, select a frame in the image...

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 discloses a monitoring video pedestrian recognition and tracking method and device and a storage medium, and the method comprises the steps: constructing an SSD target detection model which comprises a MobileNet cascade neural network and a feature extraction network which are trained in advance; decoding a monitoring video to obtain image data, selecting one frame in the image dataand inputting the frame into the SSD target detection model for face detection and recognition to obtain position box information of each pedestrian in the current frame image; and tracking each pedestrian in real time according to the position box information of each pedestrian in the current frame image and generating a moving track. According to the embodiment of the invention, the SSD networktrained by deep learning is adopted, the feature acquisition network for pedestrian recognition and tracking in the monitoring video is optimized, pedestrian face detection is realized through the MobileNet cascaded neural network, the calculation speed and accuracy are greatly improved, real-time pedestrian detection of a camera can be realized, and the reliability of security monitoring is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, and in particular, to a method, device and storage medium for pedestrian identification and tracking in surveillance video. Background technique [0002] The popularization of surveillance cameras and the development of image processing technology have provided good conditions for the development of intelligent surveillance. Identifying and tracking pedestrians in surveillance video can effectively monitor the movement trajectories of people within the popular range of cameras and improve the level of security. [0003] However, in the existing video pedestrian detection and tracking technology, the speed of front-end feature collection and extraction is low and the accuracy is not enough, which cannot meet the real-time detection requirements of the camera, and may result in tracking failure and other results, reducing the reliability of security monitoring. [0004] Therefore, the exi...

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
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V20/40G06N3/045G06F18/214
Inventor 丁永波黄建新刘超
Owner SHENZHEN WEIBU INFORMATION
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap