Pedestrian detection method based on video processing

A pedestrian detection and video processing technology, applied in the field of pedestrian detection, can solve the problems of poor real-time performance and low accuracy, and achieve the effect of good real-time performance and improved detection accuracy.

Inactive Publication Date: 2013-09-25
ZHEJIANG ZHIER INFORMATION TECH
View PDF2 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of low detection accuracy and poor real-time performance of the existing pedestrian detection technology, the present invention provides a pedestrian detection method based on video processing with improved detection accuracy and good real-time performance

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
  • Pedestrian detection method based on video processing
  • Pedestrian detection method based on video processing
  • Pedestrian detection method based on video processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to Figure 1 to Figure 4 , a kind of pedestrian detection method based on video processing, described pedestrian detection method comprises the following steps:

[0039] (1) Extract the foreground image:

[0040] Extract the moving target image of each frame in the video, and store them in the container in order; use background modeling to extract the background, and the model uses a Gaussian mixture model;

[0041] (2) Preliminary Screening Prospects:

[0042] Let the area of ​​the bounding rectangle of the target be δ, the size of the moving target image in each frame be W×H, and the image area be S=W×H. Divide the acquired video into [0,x 0 ),[x 0 ,x 1 ),[x 1 ,x 2 ] three regions, judge whether δ / S meets the threshold condition, if so, judge as a pedestrian for the first time;

[0043] Determine again whether the aspect ratio scale of the boundi...

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 pedestrian detection method based on video processing. The pedestrian detection method comprises the steps of (1) extracting a foreground image, extracting a moving object image of each frame of a video, marking the image and storing the image into a storage in sequence, using a background model to extract a background, enabling the model to adopt the gauss mixing model, (2) conducting preliminary screening on the foreground, selecting shape features of a pedestrian for conducting identification, (3) accurately identifying the foreground, selecting HOGs to conduct feature extraction on the foreground image after preliminary screening, then using a low dimensionality soft output SVM pedestrian classifier to conduct classification, and judging whether the pedestrian exists or not. The pedestrian detection method further comprises the step of (4) conducting error correction processing in a secondary thread. As for the foreground image with low dimensionality soft output SVM pedestrian classifier soft output results which are ambiguous in belonging classification, a high dimensionality SVM classifier is called in the secondary thread for recognition processing. The pedestrian detection method based on video processing improves the detection accuracy and is good in real-time performance.

Description

technical field [0001] The invention relates to a pedestrian detection method. Background technique [0002] Pedestrian detection is an important topic in the fields of intelligent video surveillance, intelligent transportation, and network image / video retrieval. It can be directly applied to applications such as pedestrian counting, pedestrian monitoring and alarm, intelligent traffic pedestrians running red lights, and driver assistance safety driving systems. Pedestrian detection algorithms are roughly divided into two categories: pedestrian detection based on static images and pedestrian detection based on video processing. The former mainly relies on pattern recognition related technologies to identify pedestrians, and its most prominent feature is its high detection accuracy and poor real-time performance. In the current method, HOG features and SVM classifier are the most perfect combination of balancing real-time and effectiveness. The latter mainly uses pedestrian...

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 Applications(China)
IPC IPC(8): G06K9/66G06T7/20
Inventor 陈媛媛郭淑琴王晓玲张标标寿娜缪国静杜克林
Owner ZHEJIANG ZHIER INFORMATION TECH
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