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Vehicle recognition algorithm based on contour

A technology of outlines and models, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as no thorough theoretical solution

Inactive Publication Date: 2007-07-11
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

The neural network method can effectively solve many nonlinear problems, but it has many important problems that have not been completely solved theoretically, such as the number of network nodes, the determination of initial weights and learning step size, local minimum points, etc., so in practice There are still some problems in the application

Method used

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  • Vehicle recognition algorithm based on contour
  • Vehicle recognition algorithm based on contour
  • Vehicle recognition algorithm based on contour

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Experimental program
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Effect test

Embodiment Construction

[0157] In this embodiment, experiments are carried out on the video sequences of four vehicle types: Jeep, Bread, Pickup, and Antelope.

[0158] Step 1, segmentation of vehicle target and selection of training samples

[0159] The extraction of the moving vehicle target in the video sequence is realized by the three-frame method or the space-time method mentioned in Step 1 of the specification. In order to achieve effective recognition, the vehicle samples in the template library should include all the angle and pose information of the vehicle target in the video. In the experiment, template samples were selected for Jeep, Bread, Pickup, and Antelope. According to the experimental data used, the number of template samples selected were: Jeep (50), Bread (50), Pickup (54 ), Antelope (50). A sampling of template samples is shown in Figure 11.

[0160] Step 2, contour extraction of vehicle target

[0161] Extract the edge contour of the vehicle target according to step 2 in t...

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Abstract

A new vehicle target identification feature extraction based on a new profile comprises an overall shape information, local statistical information and direction information compound identification feature. It puts forward a composite dual valve value identification method with quick algorithm. It uses C-Mean dynamic clustering and ternary tree principle to form an optimized matching sequence to greatly improve the identification efficiency and speed. It can be widely used in remote image identification, remote monitoring, intelligent traffic management, military scout, and so on.

Description

technical field [0001] The invention belongs to the technical fields of image processing and pattern recognition, and mainly relates to feature extraction and shape recognition of vehicle target images. Background technique [0002] The research of ATR (Automatic Target Recognition) is gradually developed with the progress of image processing, pattern recognition, artificial intelligence and other disciplines. Its basic function is to automatically detect, classify and identify objects using data sources from sensors. Target classification and recognition is to classify and determine the type of the target in the found motion area. Overall, ATR is a system that imitates the human brain to complete the process of detecting and identifying targets. [0003] Automatic Target Recognition ATR system can use a variety of sensor data sources, image-based target recognition method is an important and very applicable technology. The automatic image target recognition system includ...

Claims

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Application Information

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IPC IPC(8): G06K9/64
Inventor 解梅黄宇
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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