Night traffic flow detection method based on headlamp trajectory tracking and dynamic matching

A trajectory tracking, traffic flow technology, used in traffic flow detection, road vehicle traffic control systems, traffic control systems, etc.

Inactive Publication Date: 2018-09-14
SOUTH CHINA UNIV OF TECH
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  • Summary
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to overcome the disadvantage that existing traffic flow video detection methods are difficult to apply to complex night road scenes, the present invention provides a nighttime traffic flow detection method based on headlight trajectory tracking and dynamic matching, using headlights as the basis for identifying the existence of vehicles at night , m

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  • Night traffic flow detection method based on headlamp trajectory tracking and dynamic matching
  • Night traffic flow detection method based on headlamp trajectory tracking and dynamic matching
  • Night traffic flow detection method based on headlamp trajectory tracking and dynamic matching

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[0071] The specific implementation of the present invention will be further described below in conjunction with the accompanying drawings and examples, but the implementation and protection of the present invention are not limited thereto.

[0072] Such as figure 1 The overall technical roadmap for the inventive method comprises the following steps:

[0073] (1) Set up a camera on the gantry or a suitable high place, adjust the exposure of the camera to a low enough level, and shoot the nighttime road traffic video of the road section to be detected;

[0074] (2) Before video analysis, it is necessary to carry out initial calibration for the specific camera erection position and specific road section conditions. By inputting relevant parameters and marking the road section sidelines, the location and size parameters of each detection module area are automatically calculated and stored. In addition, stored from the image The parameters required to convert the pixel distance to...

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Abstract

The invention provides a night traffic flow detection method based on headlamp trajectory tracking and dynamic matching. The method comprises the steps of: video collection; parameter input and calibration; static extraction: through preprocessing, acquiring image brightness information and segmenting out all light spots and preliminarily screening out headlamp light spots based on geometric features; dynamic filtering: tracking the light spots obtained through static extraction and removing disturbing light sources based on the geometric features in the tracking process: vehicle lamp matching: smoothing original tracking trajectories and performing vehicle lamp matching based on smoothed trajectory feature similarity and trajectory point space position relationships; vehicle counting: when vehicle lamps are tracked to a traffic flow detection line position, counting vehicles according to a vehicle lamp matching result; traffic information output. The method extracts headlamp light spots according to the time domain stability of the brightness feature and the geometric features of headlamps at night and performs vehicle lamp matching based on vehicle lamp tracking trajectories, thereby being capable of counting vehicles in complicated night road scenarios.

Description

technical field [0001] The invention relates to the technical fields of computer vision, image processing and intelligent traffic data collection, in particular to a nighttime traffic flow detection method based on headlight trajectory tracking and dynamic matching. Background technique [0002] Traffic flow data acquisition is the basis and important link of intelligent transportation system (ITS). Video-based detection technology is compared with traditional traffic flow data acquisition methods, such as geomagnetic induction coil detection, ultrasonic detection, infrared detection, manual counting, etc. , has the following advantages: 1. Easy to install, maintain and upgrade the system; 2. The purchase cost of testing equipment is low; 3. It can provide real-time traffic scene image data on site, or reproduce past traffic scenes; 4. Environmentally friendly; 5. No interference between devices. Therefore, the traffic data acquisition method based on computer vision has a ...

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Application Information

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IPC IPC(8): G08G1/01G08G1/04G08G1/065H04N7/18
CPCG08G1/0133G08G1/04G08G1/065H04N7/18
Inventor 林培群黄子敬
Owner SOUTH CHINA UNIV OF TECH
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