Traffic flow statistic and violation detection method based on surveillance video processing

A technology for monitoring video and traffic flow. It is used in traffic control systems, traffic control systems for road vehicles, and calculations. It can solve problems such as tracking lost targets, tracking offsets, and large amounts of computation, reducing computation and errors. Accurate effect of rate and motion trajectory

Inactive Publication Date: 2013-05-22
HUAZHONG UNIV OF SCI & TECH
View PDF5 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the calculation is iterative, the error rate of tracking will increase during the iterative process, resulting in errors such as tracking offset and

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
  • Traffic flow statistic and violation detection method based on surveillance video processing
  • Traffic flow statistic and violation detection method based on surveillance video processing
  • Traffic flow statistic and violation detection method based on surveillance video processing

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0067] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0068] Such as figure 1 As shown, the method of traffic statistics and violation detection based on surveillance video processing of the present invention can be divided into four major steps: motion modeling, target detection, target tracking, and target behavior analysis according to the functional structure. It should be noted that the present invention is analyzing When the image is used, only the brightness information of the image (ie grayscale image) is used.

[0069] The method for traffic statistics and violation detection based on surveillance video processing of the present invention ...

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 traffic flow statistic and violation detection method based on surveillance video processing. The method comprises the steps of obtaining a video source, reading a frame of image, judging if the current frame is a first frame, utilizing difference information of corresponding pixel points of the current frame and the previous frame to update foreground and background images if the current frame is not the first frame, utilizing the foreground and background images to extract an interest area MASK of the current frame, calculating integral images and integrated square images of the current frame, detecting in the interest area MASK of the current frame if a plate number target exists according to the obtained integral images and integrated square images of the current frame and utilizing an Adaboost algorithm, storing position information of the detected plate number target in a list TmpList, judging if the temporary target list TmpList is empty, judging if a tracking target sequence Track-List is empty if the temporary target list TmpList is empty, and adding the detected target in an ObjList into the Track-List if the tracking target sequence Track-List is empty. By means of the method, crossing traffic flow can be counted precisely, and if a vehicle target breaks the rule is judged combining indication of traffic signal lamps.

Description

technical field [0001] The invention belongs to the fields of image pattern recognition, video target tracking, intelligent video monitoring and intelligent transportation, and more specifically relates to a method for traffic statistics and violation detection based on monitoring video processing. Background technique [0002] Traffic flow is an indispensable and important data for traffic management and regulation. The traffic flow statistics can reflect real-time traffic conditions, which is convenient for traffic managers to regulate and control, and at the same time provides important reference information for residents to travel. More importantly, the traffic flow can reflect the load situation of each road section, providing an important basis for urban planners. In some special occasions such as railway stations, near airports, and some large gathering places, traffic flow statistics technology has important security significance. [0003] The intelligent detection...

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): G08G1/017G08G1/065G06K9/62
Inventor 桑农党小迪王岳环罗大鹏沙芳华王军江曼谢晓民
Owner HUAZHONG UNIV OF SCI & 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