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Vehicle low-resolution imaging method

A low-resolution, imaging method technology, applied in the field of computer vision, can solve problems such as low vehicle imaging recognition accuracy

Inactive Publication Date: 2015-02-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a vehicle imaging method under low-resolution conditions to solve the problem of low recognition accuracy of vehicle imaging under low-resolution conditions in the prior art

Method used

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] Figure 1-Figure 5 An embodiment of a vehicle imaging method under a low-resolution situation of the present invention is shown: a vehicle imaging method under a low-resolution situation, which is characterized in that it includes the following steps:

[0050] Step 1, equipment installation and video collection: install the camera 6 to 8 meters directly above the road driving in one direction, the angle of view is 30 to 45 degrees, the horizontal tilt range is 0 to 5 degrees, and the industrial computer is placed at the roadside pole position , and the camera is connected with a network cab...

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Abstract

The invention relates to the field of computer vision, in particular to a vehicle low-resolution imaging method. The method comprises the steps of equipment installation, video collection, learning of mapping relations, learning of classifiers, vehicle detection and the like. According to the method, a vehicle global texture information training template is adopted to solve the problems existing in vehicle detection at a low resolution; sample codes and distribution of the sample codes are obtained through a nonnegative matrix decomposition training model dictionary and sparse Bayesian learning with a low-resolution vehicle image as a sample, and the model dictionary and the sample codes can reconstruct a sample image; the mapping relation between the vehicle sample codes at a high resolution and the mapping relation between the vehicle sample codes at a low resolution are learned, a video source is segmented into image sequences, a vehicle is detected frame by frame according to a vehicle model obtained through learning and training, and detection results are recorded in a database.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a vehicle imaging method under the condition of low resolution. Background technique [0002] Vehicle detection technologies mainly include: 1. The method of determining the vehicle position based on vehicle edge information; 2. The method of training vehicle templates and matching with more vehicle samples according to local texture information; 3. Detecting vehicles based on the position of the license plate method; 4, based on background modeling, the method of detecting vehicles by detecting moving objects. Among them, the vehicle edge information is greatly affected by the environment and cannot adapt to complex scenes such as many vehicles and trees on the roadside; vehicle texture information such as harr-like features combined with adaboost can detect large-scale target vehicles more accurately, but when the vehicle size In the case of small size and low resolution, the lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66H04N5/232
CPCG06V20/584G06V2201/08H04N23/80G06F18/24155
Inventor 程洪王润洲杨路
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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