Vehicle key point detection method based on gradient regression tree and apparatus thereof

A gradient regression tree and detection method technology, applied in the field of image processing, can solve the problems of positioning errors, positioning interference, and the difficulty of correct positioning of key points.

Active Publication Date: 2016-03-30
ZHEJIANG UNIVIEW TECH CO LTD
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Problems solved by technology

[0004] In the prior art, there is a means of using a classifier to detect key points, such as Adaboost detection for the corner points of car windows or license plates. The classifier used in this feature detection method obtains the features in a certain area through a sliding window, and Comparing each feature to obtain the detection result is more effective for image processing methods that require block detection (such as license plate recognition), but if d

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  • Vehicle key point detection method based on gradient regression tree and apparatus thereof
  • Vehicle key point detection method based on gradient regression tree and apparatus thereof
  • Vehicle key point detection method based on gradient regression tree and apparatus thereof

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Embodiment Construction

[0069] In order to make the present invention more detailed, the present invention will now be explained in conjunction with the embodiments and accompanying drawings.

[0070] The vehicle key point detection method of an embodiment of the present invention utilizes a vehicle key point detection device such as Figure 6 shown, including the following steps:

[0071] A, the initial position acquisition unit acquires the initial position of each key point of the image to be detected.

[0072] The initial position acquisition unit performs initial positioning of the license plate through license plate positioning, and obtains the initial position of the corner point of the license plate. According to the license plate location, the license plate position information that can be obtained is the center point of the license plate position (x 0 ,y 0 ) and the width and height of the license plate, denoted by w and h respectively. The license plate positioning technology is an exi...

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Abstract

The invention discloses a vehicle key point detection method based on a gradient regression tree. The method comprises the following steps of acquiring an initial position of each key point of a picture to be detected, inputting the initial position of each key point into a trained classifier and detecting so as to acquire a final position of each key point; extracting a characteristic of each key point in each training sample; using the extracted characteristic to carry out classifier training. The invention also discloses an apparatus corresponding to the method. The method and the apparatus of the invention have an advantage that a gradient-regression-tree point-to-point regression strategy is used so that interferences of surrounding points are reduced.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a vehicle key point detection method and device based on a gradient regression tree. Background technique [0002] Most of the current intelligent transportation systems rely on license plate recognition to track and process traffic incidents, but the limitations of license plate recognition are too large, such as blurred license plates, license plate occlusion, or even fake or no license plates will cause license plate recognition to fail. If further Confirmation of vehicle logo, model, body color, vehicle annual inspection sticker features, and driver characteristics are of great help to vehicle tracking and identification. [0003] Vehicle key point detection can detect the 4 corner points of the car window and the key point position information of the car body. For example, the detection of the 4 corner points of the car window is helpful for the subsequent detection of vehicl...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/46G06K9/62
CPCG06V10/267G06V10/44G06V20/625G06F18/24323
Inventor 苏志杰
Owner ZHEJIANG UNIVIEW TECH CO LTD
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