Vehicle detection system based on binocular stereo vision and method thereof

A technology for binocular stereo vision and vehicle detection, applied in the field of vehicle detection systems based on binocular stereo vision, can solve problems such as low accuracy, poor real-time performance and adaptability of vehicle detectors, and large amount of calculation.

Active Publication Date: 2016-01-06
SHANGHAI UNIV
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  • Application Information

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Problems solved by technology

However, this type of method is cumbersome to calibrate the camera, and the disparity matching and target segmentation algorithms have a l...

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  • Vehicle detection system based on binocular stereo vision and method thereof
  • Vehicle detection system based on binocular stereo vision and method thereof
  • Vehicle detection system based on binocular stereo vision and method thereof

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Embodiment Construction

[0065] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0066] Such as figure 1 As shown, a vehicle detection system based on binocular stereo vision includes a binocular parallel camera, a DSP processor, a communication module and a host computer. The binocular parallel camera includes a left camera A1 and a right camera A2, which are respectively processed with the DSP The DSP processor is connected with the upper host through the communication module for data communication and real-time digital video transmission.

[0067] Such as figure 2 As shown, when the detection system is installed, it is located above the road, installed from top to bottom, the parameters of the left and right cameras are consistent, the optical axes are parallel, and perpendicular to the ground; the baseline direction of the two cameras is parallel to the lane.

[0068] Such as image 3 , Figure 4 As shown, a vehicle detection met...

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Abstract

The invention discloses a vehicle detection system based on binocular stereo vision and a method thereof. The system comprises binocular parallel cameras, a DSP processor, communication and other modules. The system is vertically installed above a lane in a top-down mode so as to carry out real-time detection on road vehicles. The method comprises the following steps of (1) carrying out main point difference calibration on left and right cameras in advance and acquiring an accurate main point difference parameter; (2) collecting left and right images in real time so as to carry out detection and extraction of a foreground moving object; (3) carrying out stereo matching on an extracted and acquired foreground object area and acquiring a current frame parallax image; (4) carrying out subsequent processing on the acquired parallax image and removing a false detection area, simultaneously acquiring a two-dimensional ground plane mapping image; (5) through calculation, acquiring correlation parameters of a speed, a vehicle height, a vehicle model and the like. In the invention, the binocular cameras are used; a stereo vision principle is used so as to acquire depth information of the object; problems that a monocular vision technology is sensitive to light changes and is easy to be disturbed by shadow are solved.

Description

technical field [0001] The invention relates to the application field of computer vision technology, in particular to a vehicle detection system and method based on binocular stereo vision. Background technique [0002] With the intelligent development of urban traffic system, the demand for the detection and statistics of road traffic vehicles is increasing day by day. Existing vehicle detection methods mainly include ultrasonic, infrared, and ring induction loop detection, but in the application, there are problems such as weak anti-interference ability, low detection accuracy, inability to adapt to multi-lane detection environments, and failure to obtain vehicle-related parameters such as vehicle speed and model. and other defects. At present, the vehicle detection method based on computer vision has become a research hotspot and a future development trend. This type of method is divided into: a method based on monocular vision and a method based on binocular stereo vis...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06K9/00
Inventor 朱秋煜沈春龙赵保珠邢羽峰王辉汪森
Owner SHANGHAI UNIV
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