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Identification method of multi-scale vehicles in outdoor video surveillance

A vehicle recognition and multi-scale technology, applied in the field of pattern recognition, can solve problems such as blurred targets, limited feature information, and low accuracy of vehicle recognition, and achieve the effects of improving robustness, reducing differences, and improving recognition accuracy

Active Publication Date: 2013-07-24
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

For moving targets at this scale, the target is fuzzy, and the feature information that can be used is limited, resulting in low vehicle recognition accuracy

Method used

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  • Identification method of multi-scale vehicles in outdoor video surveillance
  • Identification method of multi-scale vehicles in outdoor video surveillance
  • Identification method of multi-scale vehicles in outdoor video surveillance

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0026] like figure 1 As shown, a method for multi-scale vehicle recognition in outdoor video surveillance proposed by the present invention mainly includes the following three parts. First, long-distance small target vehicle recognition. Through image preprocessing and spatial pyramid matching method, it effectively solves the problem of less feature information caused by small targets and blurred images. Second, vehicle recognition based on Bag of Words (BOW) model. Using normalized preprocessing combined with the BOW model, the feature space is transformed into the feature frequency space, which robustly describes different features of different scale targets. Third, a multi-scale vehicle recognition method. Divide the samples into three scales, large, medium and small, use enhanced processing for the small scale, and use BOW model-based ...

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Abstract

The invention provides an identification method of multi-scale vehicles in outdoor video surveillance. The identification method of the multi-scale vehicles in the outdoor video surveillance includes a first step of applying normalization processing, normalizing vehicle objects of different scales into three scales including a small scale, a medium scale and a large scale, and conducting histogram equalization reinforcement processing on vehicle objects of the small scale; a second step of extracting scale-invariant feature transform (SIFT) characteristics under the three scales, and reinforcing characteristic description of the vehicle objects of the small scale on the basis of extracted SIFT characteristics through a space pyramid matching method; a third step of expressing the characteristics through a bag of words (BOW) model; and a fourth step of using a support vector machine to train to generate three corresponding classifiers aiming at the vehicle objects of the three scales. When online identification is conducted, according to the range of the scale of an object to be identified, a user selects and uses a corresponding classifier to conduct identification. The identification method of the multi-scale vehicles in the outdoor video surveillance effectively improves accuracy of identification of the multi-scale vehicles.

Description

technical field [0001] The invention relates to a vehicle identification method, in particular to a multi-scale vehicle identification method in outdoor video monitoring, and belongs to the field of pattern identification. Background technique [0002] Video analysis helps to improve the understanding and analysis of massive video data, and has become one of the research hotspots in the field of multimedia. Among them, the recognition technology for vehicles in video is getting more and more attention. Vehicle recognition aims to extract vehicles from video images and localize vehicle locations. Due to the advantages of low cost, high integration, and strong flexibility, video vehicle recognition technology has been widely used in outdoor video surveillance systems such as urban traffic management and community security. [0003] Vehicle recognition is to confirm the moving target extracted from the video and identify whether it is a vehicle. Most of the traditional vehicl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/54
Inventor 胡海苗赫锋仙树李波
Owner BEIHANG UNIV
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