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Rectangular object detection method

A detection method and target technology, applied in the field of image processing, can solve the problems of cumbersome methods and low detection accuracy, and achieve the effect of more accurate position, high accuracy rate, accurate position and completeness

Inactive Publication Date: 2016-11-23
PEKING UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to realize the detection of rectangular targets, and improve the deficiencies of the prior art in terms of low detection accuracy and cumbersome methods.

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Embodiment Construction

[0040] In order to make the technical solution of the present invention clearer, the technical solution of the present invention will be further elaborated below in conjunction with the drawings and specific embodiments.

[0041] The invention adopts the method based on DPM, and the training process of the DPM model does not need to know the position information of the object details, but only needs the frame of the outer contour of the target, so that the detection method has high efficiency and high precision. According to the process of extracting features-training-detection, the method first obtains HOG, then inputs HOG into SVM (Surpport Vector Machine) for training, and obtains the model of the object. After the model is obtained, the target can be classified and recognized . For rectangular target objects, before extracting features, it is only necessary to read the position coordinates of the target in the positive and negative samples, and obtain the model of this typ...

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Abstract

A method for detecting a rectangular target, comprising the following steps: extracting sample features; obtaining a root filter; obtaining a component filter; model detection; and performing gradient search calculations to precisely locate a detection frame. Compared with the prior art, the present invention uses a machine learning method to use pictures containing rectangular objects as positive samples, and any pictures without objects as negative samples to form a training set. During the training process, only the target outline of the sample is required Label information, the information is easy to read and efficient. The training of support vector machine and hidden variable support vector machine ensures the high accuracy of detection, and the use of hidden variable support vector machine to train component filters also makes some detailed information not easy to be lost, which greatly improves the accuracy of detection. rate and recall. Using the gradient search calculation to adjust the detection frame also compensates for the fact that the detection frame does not completely frame the target, making the position of the target more accurate and complete.

Description

technical field [0001] The invention relates to the field of image processing, in particular to the detection and positioning of a rectangular target object in a video sequence, in particular to a detection method for a rectangular target object. Background technique [0002] Image processing technology is a new technical field that has emerged, developed and gradually matured with the development of computer technology since the 1960s, and target detection and positioning in video sequences has gradually become a popular branch of image processing. , the focus is on classifying and locating objects in images by means of pattern recognition and image processing. Extracting the foreground part to be studied from the background for analysis is called object detection. The target object in an image is the foreground, which is the focus of people's research, while the non-foreground part is called the background, which is usually not of interest to people. Due to the interfere...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0004G06T2207/10016G06T2207/20081
Inventor 杨长水张紫薇解晓东贾惠柱陈瑞
Owner PEKING UNIV
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