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Method and device for vehicle detection and tracking

A vehicle detection and vehicle technology, which is applied in the field of vehicle detection and tracking methods and devices, can solve the problems of reducing the accuracy of positioning the vehicle position, increasing the vehicle position detection error, etc.

Active Publication Date: 2018-10-19
NETPOSA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of a car detecting the vehicle position of its surrounding vehicles, when the size of the acquired vehicle image is very different from the size of the training model, scaling the size of the vehicle image will increase the detection error of the detected vehicle position and reduce the Accuracy of locating vehicle position

Method used

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  • Method and device for vehicle detection and tracking
  • Method and device for vehicle detection and tracking
  • Method and device for vehicle detection and tracking

Examples

Experimental program
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Embodiment 1

[0100] see figure 2 , the present embodiment provides a vehicle detection and tracking method, comprising the following steps:

[0101] Step 200: Detect the currently captured vehicle image to obtain vehicle features of the vehicle image; wherein the vehicle feature includes at least one of the following: image grayscale feature, gradient magnitude feature, and gradient direction feature.

[0102] The vehicle image is each frame of the vehicle image captured by the driving recorder or the vehicle panoramic imaging system pre-installed on the vehicle through the camera of the driving recorder or the vehicle panoramic imaging system during the driving of the vehicle.

[0103] Image grayscale features, gradient magnitude features and gradient direction features can be obtained using the improved aggregation channel feature algorithm (SACF); of course, other existing image grayscale features and gradient magnitude features that can obtain vehicle images can also be used And the ...

Embodiment 2

[0180] see image 3 , this embodiment provides another vehicle detection and tracking method, the vehicle detection and tracking method can be divided into two main steps of detection and tracking, and video-based vehicle detection can be divided into two stages of training and detection. Video-based vehicle detection is trained by using machine learning methods. The features and feature calculation methods in the vehicle detection process are designed. Mixed channel features are used as vehicle features for training and detection. The trainer uses cascaded Adaboost Algorithm, the detection adopts the multi-scale multi-model detection mode combined with global and local, and the vehicle tracking adopts the detection correlation integration method to achieve fast vehicle tracking effect.

[0181] The feature calculation method provided in this embodiment is described as follows:

[0182] The vehicle detection features are described by SACF features, which include the combinati...

Embodiment 3

[0218] see Figure 4 , the present embodiment provides a vehicle detection and tracking device for performing the above vehicle detection and tracking method, including: a vehicle feature detection module 400, a model selection module 402, a position information determination module 404 and a vehicle tracking module 406;

[0219]The vehicle feature detection module 400 is used to detect the currently captured vehicle image to obtain the vehicle feature of the vehicle image; wherein the vehicle feature includes at least one of the following: image grayscale feature, gradient amplitude feature and gradient direction feature;

[0220] The model selection module 402 is connected with the vehicle feature detection module 400, and is used to select a group of models adapting to the vehicle image size from the pre-trained multi-model network structure;

[0221] The location information determination module 404 is connected with the model selection module 402, and is used to perform v...

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Abstract

The present invention provides a vehicle detection and tracking method and device. The method includes: detecting the currently captured vehicle image to obtain the vehicle features of the vehicle image; A set of models; through the selected set of models, vehicle detection is performed on the vehicle features to obtain the position information of each vehicle in the vehicle image; according to the obtained position information of each vehicle, the vehicle in the vehicle image is tracked. Through the vehicle detection and tracking method and device provided by the present invention, the accuracy of vehicle positioning can be improved, and the vehicle tracking speed can be improved.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a vehicle detection and tracking method and device. Background technique [0002] At present, in the process of driving a car, the vehicles around the normal driving car may approach it. If the distance is too close, it may cause rear-end collisions between the normal driving car and the vehicles close to it, which will affect the driving safety of the vehicle. create a threat. In order to ensure the driving safety of a normal running car, the normal running car can detect the vehicle position of the surrounding vehicles, and find the surrounding approaching vehicles in time. [0003] In the related art, in the process of the vehicle detecting the vehicle position of its surrounding vehicles, the vehicle image of the surrounding vehicles of the vehicle is first acquired, and then the acquired vehicle image is scaled to a size that meets the preset model size, and the image ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/584
Inventor 田波魏磊磊张丛喆
Owner NETPOSA TECH