Target feature detection method and device

A technology of target features and detection methods, applied in the field of computer vision, can solve the problems of high computational complexity and difficult to meet the requirements of real-time detection, and achieve the effect of improving the calculation speed

Inactive Publication Date: 2015-03-25
王非
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Problems solved by technology

Combining HOG and LBP to extract features of the target can improve the detection accuracy, but due to the high computational complexity, it is difficult to meet the requirements of real-time detection

Method used

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  • Target feature detection method and device
  • Target feature detection method and device
  • Target feature detection method and device

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Embodiment Construction

[0024] 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.

[0025] In the embodiment of the present invention, according to the preset simplified algorithm, the LBP feature descriptor and the HOG feature descriptor of the video frame are extracted, combined into a HOG_LBP feature descriptor, and the HOG_LBP feature descriptor is input into the SVM classifier to identify For the specific target in the video frame, the method is suitable for FPGA hardware circuit to meet the requirements of real-time detection and improve the calculation speed of target feature detection.

[0026] In the embodiment of the present invention, target feature detection is suitabl...

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Abstract

The invention belongs to the computer vision technical field and provides a target feature detection method and device. The method comprises the following steps that: a LBP (Local Binary Pattern) feature descriptors are extracted from a video frame; according to a preset simplification algorithm, a HOG (Histogram of Oriented Gradient) feature descriptors are extracted from the video frame; and a target can be identified through an SVM (Support Vector Machine) classifier according to the LBP feature descriptors and the HOG feature descriptors. According to the target feature detection method and device provided by the invention, the LBP feature descriptors and the HOG feature descriptors of the video frame are extracted according to the preset simplification algorithm so as to form HOG_LBP feature descriptors, and the HOG_LBP feature descriptors are inputted into the SVM classifier, so that a specific target in the video frame can be identified. The target feature detection method is suitable for FPGA (Field Programmable Gate Array) hardware circuits, and therefore, requirements for real-time detection can be satisfied, and computing speed of target feature detection can be improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a target feature detection method and device. Background technique [0002] In recent years, real-time monitoring has been more and more widely used in the fields of intelligent transportation and security. For example, the on-board video surveillance system can detect pedestrians in time and remind drivers to pay attention to reduce traffic accidents; install surveillance cameras in residential areas and traffic crossings to record passing pedestrians and vehicles, etc. These applications put forward high requirements on the real-time processing speed, storage capacity and accuracy of video data retrieval of video data. Therefore, target detection and tracking have become hot and difficult issues in the field of computer vision technology. [0003] The traditional target detection is to use the histogram of oriented gradient (HOG) to extract the features of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V20/46G06V20/41
Inventor 王非
Owner 王非
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