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Vehicle detection method based on partial models

A vehicle detection and vehicle technology, which is applied to computer components, character and pattern recognition, instruments, etc., can solve the problems of unsuitable traffic scenes, without considering vehicle occlusion, etc., and achieve the effect of improving the detection accuracy and reducing the impact

Inactive Publication Date: 2013-12-25
CLOUD COMPUTING CENT CHINESE ACADEMY OF SCI +1
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AI Technical Summary

Problems solved by technology

However, many methods based on image features do not consider vehicle occlusion and are not suitable for dealing with occluded traffic scenes.

Method used

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  • Vehicle detection method based on partial models
  • Vehicle detection method based on partial models
  • Vehicle detection method based on partial models

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Embodiment Construction

[0040] Such as Figure 1-5 As shown, the implementation of the present invention is divided into four main steps: part selection, part modeling, model learning and vehicle detection. These four steps are described in detail below:

[0041] Step S1: In partial selection, consider vehicle occlusions in complex traffic scenes (such as figure 1 ), select two parts from the vehicle object according to the degree of easy occlusion to form the vehicle model, these two parts are part (a) and part (b), and part (a) is not easy to be The occluded area; part (b) is the easily occluded area around the license plate. In the embodiment of the present invention, part (a) includes the whole car window, a part of the roof near the car window and a part of the hood near the car window and other parts where the image area is located and the image area around these parts; part (b) includes the car Parts such as lights, license plates, and a portion of the hood near the lights, and the image ar...

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Abstract

The invention relates to the technical field of vehicle detection, and particularly relates to a vehicle detection method based on partial models. The method comprises the steps of taking two parts of a vehicle object according to the easily covering degree so as to form vehicle models; respectively setting a model for the two parts by hybrid image templates with multiple characteristics; studying the hybrid image templates corresponding to the two parts and the image likelihood probability of the templates by virtue of a training image, and simultaneously studying the probability distribution of the position and scale relationship of the two parts; detecting the candidate of the two parts in a tested traffic image, and combining the vehicle candidate by virtue of the position and scale relationship of the two parts so as to realize vehicle detection. The vehicle detection method has the advantages of being adaptable to moderate vehicle transformation and multiple weather conditions, and can be used for processing vehicle covering in a complex traffic scene.

Description

technical field [0001] The invention relates to the technical field of vehicle detection, in particular to a vehicle detection method based on a partial model. Background technique [0002] Video-based vehicle detection technology is an important part of intelligent transportation systems, providing vehicle information for many applications; such as driver assistance systems, traffic video surveillance systems, etc. At present, the commonly used vehicle detection method is to use the motion information of the vehicle to detect the vehicle, such as the paper "Adaptive Vehicle Detector Approach for Complex Environments" published by Wu Bingfei and others in "IEEE Transactions on Intelligent Transportation Systems (IEEE Intelligent Transportation Transactions)" in 2012 "(Adaptive vehicle detector in complex scenes) is to use motion information to detect vehicles. However, this method is not suitable for dealing with occlusions between vehicles, and it is difficult to accuratel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/64
Inventor 王飞跃李叶
Owner CLOUD COMPUTING CENT CHINESE ACADEMY OF SCI
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