Pedestrian traffic statistical method and system based on traffic monitoring facilities

A technology of traffic monitoring and flow statistics, applied in the fields of image processing and computer vision, can solve problems such as difficult to meet real-time requirements, complex tracking algorithms, and cannot be used directly, and achieve the effects of reducing the amount of calculation, narrowing the detection range, and improving efficiency

Inactive Publication Date: 2010-09-29
BEIJING JIAOTONG UNIV
View PDF4 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this invention uses the Adaboost method based on Haar features for head detection, which requires a large number of positive and negative samples for training
The tracking algorithm

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 traffic statistical method and system based on traffic monitoring facilities
  • Pedestrian traffic statistical method and system based on traffic monitoring facilities
  • Pedestrian traffic statistical method and system based on traffic monitoring facilities

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0031] In the embodiment of the present invention, based on the traffic monitoring facilities, a crosswalk with a relatively high frequency of pedestrians is selected to count the pedestrian flow. The traffic monitoring camera is set at a higher position, and the overlooking information is extracted by slanting downward, which can effectively avoid occlusion and count accurately in the case of dense crowds. The video capture speed is 25 frames per second. Since the pedestrian's walking speed is relatively slow, about 1.2 m / s, an image is extracted every 5 frames in the embodiment of the present invention and processed as the current image. By detecting the heads on the detection line in the current image and matching them with the previous detection results, the traffic of pedestrians in different directions is counted. The method and system for ...

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 technologies of image processing and computer vision and discloses a pedestrian traffic statistical method which is used for carrying out statistic on pedestrian traffic in different movement directions at crossroads mainly by detecting heads on detection lines. The pedestrian traffic statistical method comprises the following steps of: firstly, detecting heads on a detection frame, and determining whether the detected heads press the detection lines or not so as to determine effective headcount in the detection frame; then matching the result with the previous detection result, and counting with different movement directions according to the matching result; and finally carrying out traffic statistic according to the setting conditions of the detection frame and the detection lines. The pedestrian traffic statistical system comprises a detection setting module, a head detection module, a line-pressing determining module, a result storage module, a head matching module and a traffic statistical module. The invention carries out statistic on pedestrian traffic according to the detection result of each detection line. The invention is simple and easy for implementation, can be used for city roads with complicated backgrounds, and realizes real-time statistic on pedestrian traffic by utilizing the traditional traffic monitoring facilities.

Description

technical field [0001] The invention relates to image processing and computer vision technology, in particular to a pedestrian flow statistics method and system based on traffic monitoring facilities. Background technique [0002] As an integral part of the intelligent transportation system, the traffic monitoring system plays an important role in ensuring the smooth flow of urban traffic. The traffic monitoring system can send the running status of the vehicles to the monitoring center in real time, and the traffic management department will control the traffic flow on the road according to the actual situation on the spot, guide the vehicles to the smooth road sections, reduce congestion, and realize the intelligentization of urban traffic management. [0003] The current traffic monitoring system is mainly aimed at motor vehicles and lacks the statistics and processing of pedestrian flow. Pedestrians are the main participants in the traffic system. Ensuring the safety of...

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): G06K9/00G06M11/00
Inventor 李娟邵春福李琦沈涛
Owner BEIJING JIAOTONG 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

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