Unlock instant, AI-driven research and patent intelligence for your innovation.

Robust real-time vehicle detection and tracking method

A real-time detection and robust technology, applied in the traffic control system of road vehicles, image data processing, instruments, etc., can solve the problems of poor real-time performance, complex implementation, unstable tracking, etc., to meet real-time tracking, highlight significant progress , Robust effect of vehicle tracking process

Active Publication Date: 2013-08-14
成都方米科技有限公司
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a robust vehicle real-time detection and tracking method, which mainly solves the problems in the prior art that the vehicle tracking method is unstable in tracking, poor in real-time performance, complicated to implement, and unable to meet people's needs

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
  • Robust real-time vehicle detection and tracking method
  • Robust real-time vehicle detection and tracking method
  • Robust real-time vehicle detection and tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] In order to simply and reliably implement functions such as vehicle detection, stable tracking, and vehicle movement direction judgment required in the field of video vehicle monitoring, such as figure 1 As shown, the present invention discloses a robust vehicle real-time detection and tracking method. The present invention mainly includes two parts, namely vehicle detection and vehicle tracking.

[0028] Wherein, vehicle detection is the premise of vehicle tracking, and a kind of implementation scheme of vehicle detection is provided in this embodiment, as follows:

[0029] Use the off-line training method to collect positive and negative samples of vehicles in the original video, that is, to intercept the head or tail of the vehicle with a size between 20×20 and 100×100 from the video picture as a positive sample, and the video source of the positive sample It can be selected from actual traffic monitoring; use any picture that does not contain vehicles as a negative ...

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 robust real-time vehicle detection and tracking method, which mainly solves the problems that the vehicle tracking method cannot realize stable tracking, the real-time performance is poorer, the realization is more complex, and demands of people cannot be met in the prior art. The robust real-time vehicle detection and tracking method comprises the steps of collecting positive and negative samples; extracting characteristics of the positive and negative samples to obtain a cascade classifier; detecting target pictures; establishing a tracking list and predicting positions of vehicles in the tracking list by adopting an optical flow method; and conducting path tracking according to the initial positions and the predicted positions of the vehicles. By adopting the scheme, the robust real-time vehicle detection and tracking method achieves the goals of stable tracking, better real-time performance and relatively simple realization, and has very great practical values and popularization values.

Description

technical field [0001] The invention relates to a monitoring method, in particular to a robust vehicle real-time detection and tracking method. Background technique [0002] With the gradual implementation of national policies on "Safe City" and "Safe Traffic", the field of intelligent video surveillance has developed rapidly. At present, most of the vehicle detection systems used in the field of intelligent video surveillance rely on static backgrounds, and feature judgments and trajectory predictions are performed by extracting moving object information. It has a great impact on the detection. In order to improve the detection accuracy, complex algorithms are often used to separate the background in the prior art. Although this processing method achieves the purpose of accurate detection, it cannot meet the real-time requirements. [0003] Vehicle tracking is an indispensable part of the monitoring system. The research on tracking algorithms has been a hot field in recent...

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): G06K9/66G06K9/46G06T7/20G08G1/017
Inventor 黄健陈龙王国金郭培超周卫
Owner 成都方米科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More