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Crowding degree detection method, device and system and electronic equipment

A detection method and technology of a detection device are applied in the field of image recognition, which can solve the problems of high configuration of hardware equipment and slow recognition speed, and achieve the effects of accurate crowding degree recognition, reducing dependence and improving detection speed.

Active Publication Date: 2018-05-11
重庆交通开投科技发展有限公司
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  • Claims
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Problems solved by technology

[0004] In view of the above situation, the existing traditional crowd crowd detection method, through the processing and analysis of video data, determines the number of people in the crowd, and then obtains the crowding degree in the corresponding scene. This process has the disadvantages of slow recognition speed and required hardware equipment. high configuration problem

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  • Crowding degree detection method, device and system and electronic equipment
  • Crowding degree detection method, device and system and electronic equipment
  • Crowding degree detection method, device and system and electronic equipment

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Embodiment 1

[0058] An embodiment of the present invention provides a crowd crowd detection method, which can be applied to various specific crowd scenes. see figure 1 As shown, the method includes the following steps:

[0059] S101: Acquire a first image to be detected; the first image is one of images collected in various application scenarios.

[0060] In the embodiment of the present invention, application scenarios include but are not limited to: bus compartments, rail train compartments, ship cabins, various waiting rooms, bus stops, ticket windows, and rooms or floors with obvious markers (such as floor tile lines) . Before performing congestion recognition, first obtain an image in a certain application scene to be detected. Specifically, the camera installed in the application scene can be used to capture the image to be detected, or other shooting devices such as a camera , the above-mentioned image to be detected is obtained by shooting, and in order to distinguish it from th...

Embodiment 2

[0098] An embodiment of the present invention provides a crowd crowd detection device, see Figure 6 As shown, the device includes: an image acquisition module 61 , a feature extraction module 62 , and an image classification module 63 .

[0099] Wherein, the image acquisition module 61 is used to acquire the first image to be detected; the first image is one of the images collected under various application scenarios; the feature extraction module 62 is used to extract the first image in the first image. Crowd crowding feature; the first crowd crowding feature comprises: the background region feature of the first image; image classification module 63, is used for inputting the first crowd crowding feature into the crowding degree detection classifier trained in advance, obtains the first image Classification results of crowd crowding; wherein, the crowding degree detection classifier is obtained by classifying training sample data whose number reaches a certain threshold; the...

Embodiment 3

[0102] An embodiment of the present invention provides a crowd congestion detection system, see Figure 7 As shown, the system includes: a background server 71, a terminal device 72 and a crowd congestion detection device 73 as described in the second embodiment.

[0103] Wherein, the background server 71, the terminal equipment 72 and the crowd congestion detection device 73 are connected in pairs; The result is sent to the terminal device 72 .

[0104] The above-mentioned background server 71 can be a monitoring center in different application industries, and the above-mentioned terminal equipment 72 can be an information release platform, a display, and a hand-held terminal of relevant staff in various industries. Specifically, the above-mentioned crowd congestion detection device 73 is applied to Different related application industries can further realize a variety of functions. For example, the bus station staff can dispatch vehicles according to the current bus congest...

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Abstract

The invention provides a crowding degree detection method, device and system and electronic equipment, and relates to the technical field of image recognition. The method comprises the steps: obtaining a to-be-detected first image, i.e., one of images collected in various application scenes; extracting a first crowding feature in the first image, i.e., a background region feature of the first image; inputting the first crowding feature into a pre-trained crowding degree detection classifier, and obtaining a classification result of the crowding degree of the first image; and enabling the crowding degree detection classifier to carry out the training of the training sample data collected in various application scenes, wherein the number of training samples reaches a certain threshold value.The method can achieve the detection of the crowding degrees in various application scenes through combining with the background information of the collected image, reduces the dependence on high-configuration hardware equipment, achieves the quick and accurate recognition of the crowding degree, and meets the demands of the quick judgment of the crowding degrees in various application scenes.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a crowd crowd detection method, device, system and electronic equipment. Background technique [0002] At present, the mainstream crowd crowding algorithm generally adopts the pattern recognition method of counting heads, first removes the background of the flow of people, and then distinguishes the number of heads in the remaining images according to the shape of the heads of the people, because the images in the video are dynamic. Continuous change, so a more accurate number of personnel can be obtained after a series of processing. This method has relatively high requirements on the accuracy of video equipment, and because it needs to use more complex algorithms to process video streams, the amount of background calculations required by the algorithms is relatively large, so special hardware is generally required to obtain more accurate head processing at a faster sp...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
CPCG06V20/53G06F18/2415
Inventor 邓伟
Owner 重庆交通开投科技发展有限公司
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