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Personnel detection method and device suitable for big data, equipment and medium

A person detection and big data technology, applied in the computer field, can solve problems such as insufficient detection accuracy, interference, and difficulty in obtaining head detection, and achieve high recall rate, high precision rate, and reduce the effect of head detection error

Active Publication Date: 2020-05-12
福建省星云大数据应用服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a person detection method, device, equipment and medium suitable for big data, based on a multi-level cascaded head classifier Realize head detection in various scenes with many people, integrate static features, dynamic features and inter-frame correction, and solve the technical problem that it is difficult to obtain good results in head detection due to the interference of complex backgrounds and insufficient detection accuracy in actual scenes

Method used

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  • Personnel detection method and device suitable for big data, equipment and medium
  • Personnel detection method and device suitable for big data, equipment and medium
  • Personnel detection method and device suitable for big data, equipment and medium

Examples

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Embodiment 1

[0033] This embodiment provides a method of personnel detection suitable for big data, such as figure 1 shown, including the following steps:

[0034] S1: Take one frame from every consecutive M (M>1, and less than the video frame rate) frames in an image sequence of a video (such as a surveillance video) to obtain a sampled video sequence. Among them, the image resolution of the surveillance video is 640×480 or 320×240 adjustable, the frame rate is 15fps, the compression encoding format is H.264, and the video encapsulation format is WMV.

[0035] S2: Use the pre-classifier to quickly obtain almost all windows containing human heads, take out consecutive N (N>1) frames from the sampled video sequence each time, and input them into the pre-classifier to obtain the preliminary human head window to be detected; the specific process yes:

[0036] S21: take out continuous N frames from the sampled video sequence each time, and use it as the input of the pre-classifier; look for ...

Embodiment 2

[0089] In this embodiment, a person detection device suitable for big data is provided, such as Figure 7 shown, including:

[0090] The acquisition module is used to take a frame from every continuous M frame in the image sequence of the video to obtain a sampled video sequence;

[0091]The preliminary detection module is used to take out continuous N frames from the sampled video sequence, and input the pre-classifier to obtain the preliminary head window to be detected;

[0092] The secondary detection module is used to input the preliminary head window to be detected into the main classifier, and further exclude the window without human head to obtain the second head window to be detected;

[0093] The correction module is used to input the secondary head window to be detected into the clustering analyzer, and correct the detection results of each frame to reduce errors and generate high-precision head detection results.

[0094] Wherein, the preliminary detection module...

Embodiment 3

[0108] This embodiment provides an electronic device, such as Figure 8 As shown, it includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, any implementation manner in Embodiment 1 can be realized.

[0109] Since the electronic device introduced in this embodiment is the device used to implement the method in Embodiment 1 of this application, based on the method described in Embodiment 1 of this application, those skilled in the art can understand the electronic device of this embodiment. Specific implementation methods and various variations thereof, so how the electronic device implements the method in the embodiment of the present application will not be described in detail here. As long as a person skilled in the art implements the equipment used by the method in the embodiment of the present application, it all belongs to the protection scope of the present application. ...

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Abstract

The invention provides a personnel detection method and a device suitable for big data, equipment and a medium, and the method comprises the steps: S1, taking one frame from each continuous M frames in an image sequence of a video, and obtaining a sampling video sequence; S2, extracting continuous N frames from the sampled video sequence each time, and inputting the N frames into a pre-classifierto obtain a preliminary to-be-detected human head window; S3, inputting the preliminary to-be-detected human head window into the main classifier, and further excluding the human head-free window to obtain a secondary to-be-detected human head window; and S4, inputting the secondary to-be-detected human head window into the clustering analyzer, mutually correcting the detection results of each frame, reducing errors, and generating a high-precision human head detection result. According to the method, head detection in various scenes with many people is realized based on the multi-stage cascaded head classifier, static features, dynamic features and inter-frame correction are fused, and the technical problem that good head detection effect is difficult to obtain due to interference of complex backgrounds and insufficient detection precision in actual scenes is solved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, equipment and medium suitable for identifying and counting people in video big data. Background technique [0002] The development of science and technology and productivity has brought about a rapid increase in the amount of data, among which multimedia data such as video images account for a large proportion. How to efficiently process these massive data and quickly mine valuable information is a current research hotspot. Generally, big data has four characteristics, namely large amount of data, need for quick response, diverse data types and low value density. Video big data also has the above characteristics, but its particularity lies in the greater data redundancy, which requires efficient compression coding and analysis processing. Intelligent video analysis technology is one of the research contents of video big data. Its development trend is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/41G06V10/50G06N3/045G06F18/23213G06F18/2411Y02D10/00
Inventor 钟军张毅林欣郁邹建红颜阿南郑宇哲杨希锐徐寿坤庄仁贵余美书
Owner 福建省星云大数据应用服务有限公司
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