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Fisheye image vehicle identification method

A fisheye image, vehicle recognition technology, applied in the field of vehicle recognition, can solve problems such as complex calculation process

Active Publication Date: 2012-06-20
TIANJIN UNIV
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Problems solved by technology

The feature-based vehicle recognition method has good recognition performance, but the calculation process is relatively complicated and needs to be further improved in real-time

Method used

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  • Fisheye image vehicle identification method
  • Fisheye image vehicle identification method
  • Fisheye image vehicle identification method

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Embodiment Construction

[0096] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0097] Compressed sampling theory is a novel theory that appeared in recent years. It can properly compress the data while sampling the signal, find the least coefficients to represent the signal during the sampling process, and recover the original signal from the compressed data with an appropriate reconstruction algorithm. Compressive sampling theory has great attractiveness and application prospects, and its applied research has been involved in many fields, such as CS radar, image processing, biological sensing and pattern recognition. It can directly classify according to the sparsest solution obtained by making a sparse representation of the object to be recognized. This greatly improves the recognition rate and real-time perfo...

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Abstract

The invention discloses a fisheye image vehicle identification method, belonging to the field of vehicle identification. The method comprises the following steps of: obtaining a fisheye image by a fisheye camera; correcting the fisheye image to obtain the corrected fisheye image; based on the corrected fisheye image, obtaining the lower edge and the left and right edges of the vehicle according to the current environment of the vehicle respectively to obtain vehicle candidate areas; and classifying the vehicle candidate areas and identifying vehicles and non-vehicles. In the invention, by detecting the inherent features of the vehicle and effectively combining the features, the vehicle separation accuracy can be improved, and the quick and accurate implementation of the subsequent vehicleidentification is ensured; and the method classifies the vehicles and non-vehicles from another angle, is not influenced by the feature vector extraction mode, and brings remarkable improvement to the identification rate and the complexity of identification algorithm.

Description

technical field [0001] The invention relates to the field of vehicle recognition, in particular to a fisheye image vehicle recognition method, which is used for effectively monitoring traffic road conditions and avoiding traffic accidents in an intelligent traffic system. Background technique [0002] With the continuous increase of vehicles, it is inevitable to carry out computerized and intelligent management of vehicles. Vehicle identification technology is an important part of intelligent transportation systems and is widely used in automatic traffic management systems and vehicle assisted driving systems. For a long time, research institutions in various countries have continuously improved vehicle recognition technology, and the requirements for recognition rate have also been continuously improved. There are two main types of vehicle identification technology: [0003] One method is a method based on template matching, which uses a predefined vehicle template to esta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G08G1/017
Inventor 程广涛宋占杰庞彦伟
Owner TIANJIN UNIV
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