Human head detection method and device

A detection method and head technology, applied in the field of target detection, can solve the problem of insufficient head detection accuracy and achieve the effect of simple and effective detection method, improved accuracy, and high positioning accuracy

Active Publication Date: 2019-08-02
ROUTON ELECTRONICS CO LTD
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Problems solved by technology

However, the current methods based on regression ideas are not accurate enough for head detection in complex scenes wit

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  • Human head detection method and device
  • Human head detection method and device

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[0027] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] like figure 1 As shown, it is a schematic flowchart of a human head detection method provided by an embodiment of the present invention, including:

[0029] Step 100, input the image to be tested to the human head detection model, obtain a bounding box set, the classification confidence of each bounding box in the bounding b...

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Abstract

The embodiment of the invention provides a human head detection method and device, and the method comprises the steps: inputting a to-be-detected image into a head detection model, and obtaining a boundary frame set, the classification confidence degree of each boundary frame in the boundary frame set, and the IOU positioning confidence degree of each boundary frame; based on classification confidence coefficient of each bounding box in bounding box set and IOU positioning confidence coefficient of each bounding box, adopting IOU-NMS algorithm to carry out back-end processing on bounding box set to obtain a human head detection result, wherein the head detection model is obtained by performing training according to an image sample and a head target true value frame corresponding to the image sample. According to the embodiment of the invention, a human head detection model composed of a convolutional neural network and a specific recurrent neural network model is utilized to carry outfeature extraction and decoding regression on an input image, and then the IOU-NMS algorithm is used for carrying out back-end processing on the bounding box, so that the accuracy of human head detection in a complex scene can be effectively improved..

Description

technical field [0001] The present invention relates to the technical field of target detection, and in particular, to a method and device for detecting a human head. Background technique [0002] Target detection is to locate the location area where the target object appears in the image and determine the classification of the target object. With the rapid development of computer vision and pattern recognition technology and the continuous improvement of hardware performance, object detection technology has been widely used. In large public places such as schools, shopping malls, and hospitals, the activities of crowds are frequent and intensive. Detecting human characteristics in these complex scenes to obtain information plays an important role in public security prevention and control, reasonable deployment of public facilities, and commercial information collection. [0003] The target selected for human detection can be a complete human body or a complete head, face, ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/164G06N3/044G06N3/045G06F18/241G06F18/214
Inventor 张学阳李学军郑辉王雅
Owner ROUTON ELECTRONICS CO LTD
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