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Head detection method and apparatus

A detection method and head technology, which is applied in the field of image processing, can solve the problems of low accuracy of head detection results, achieve the effects of improving accuracy, avoiding missed detection, and improving accuracy

Active Publication Date: 2017-06-13
TENCENT TECH SHANGHAI
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Problems solved by technology

[0004] Based on this, it is necessary to provide a head detection method and device for the problem of low accuracy of the current head detection results

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  • Head detection method and apparatus
  • Head detection method and apparatus

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[0032] 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.

[0033] figure 1 It is an application environment diagram of the human head detection method in one embodiment. refer to figure 1 , the head detection method is applied to a head detection system, and the head detection system includes an electronic device 110 and a top-view camera 120 connected to the electronic device 110 . The bird's-eye view camera 120 is used to capture images to be inspected and send the images to be inspected to the electronic device 120 . The bird's-eye view camera can be installed on the top of a building or on a wall higher than a person's height, or at a corner on the ...

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Abstract

The invention relates to a head detection method and apparatus. The method comprises the steps of segmenting a to-be-detected image into more than one sub-image; inputting each sub-image to a convolutional neural network trained according to a training image subjected to head position calibration, and outputting a first feature corresponding to each sub-image through front layers including a convolutional layer and sub-sampling layers in the convolutional neural network; mapping the first feature corresponding to each sub-image into a second feature corresponding to each sub-image through a convolutional layer behind the front layers in the convolutional neural network; mapping the second feature corresponding to each sub-image into a head position corresponding to each sub-image and a confidence degree corresponding to the head position through a regressive layer of the convolutional neural network; and filtering the head position corresponding to each sub-image according to a corresponding confidence degree, thereby obtaining the head position detected in the to-be-detected image. According to the method and the apparatus, the head detection accuracy can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a human head detection method and device. Background technique [0002] Head detection refers to the detection of the head of a human body in an image. The results of head detection are used in various applications, such as in the field of security. At present, head detection is mainly realized based on the shape and color of the head. At present, the specific process of human head detection is: first binarize the image, then perform edge detection to obtain a roughly circular edge; then use circular detection to obtain the position and size of the circular edge, and then compare The gray level and size of the circular area are judged to obtain the head detection result. [0003] However, the current head detection relies on the assumption that the shape of the head is circular. In fact, the shape of the head is not a regular circle, and the shape of the head o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08G06T7/246G07C9/00G06V10/764
CPCG06N3/082G07C9/00G06T2207/30196G06T2207/30242G06V40/10G06V20/53G06F18/22G06F18/214G06T7/246G06T2207/10016G06T2207/20081G06T2207/20084G06T7/73G06T2207/20021G06V10/454G06V10/751G06V10/82G06V10/764G06N3/045G06T7/74G06T7/10G06T7/20
Inventor 姜德强
Owner TENCENT TECH SHANGHAI
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