Pedestrian motion identification method, device and equipment

A motion and pedestrian technology, applied in the field of pedestrian motion recognition, can solve the problems of slow response speed in the recognition and tracking process, low accuracy rate of pedestrian motion recognition, and high training cost, so as to save training cost, save computing power, and reduce computing power. volume effect

Pending Publication Date: 2021-02-02
上海迈外迪网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] From the above two examples, it can be seen that the accuracy of the algorithm for identifying pedestrian movement in the prior art is low
[0007] At the same time, there are many other defects in the algorithm fo

Method used

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  • Pedestrian motion identification method, device and equipment
  • Pedestrian motion identification method, device and equipment
  • Pedestrian motion identification method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0065]Example one

[0066]As described below, embodiments of the present invention provide a method for recognizing pedestrian movement.

[0067]Referencefigure 1 The flow chart of the method for recognizing the movement of pedestrians is shown:

[0068]S101: Obtain an algorithm for recognizing pedestrian movement.

[0069]After collecting data through the thermopile array sensor, it is necessary to process the algorithm to identify pedestrian movement from the collected data. In this embodiment, an algorithm for identifying pedestrian movement from the collected thermopile array data is established in advance.

[0070]The difference from the prior art is that in this embodiment, the machine learning scheme in the prior art is discarded, the training cost of machine learning is saved, and a series of technical means are used to speed up the calculation of the algorithm and improve the performance of the algorithm. Accuracy, at the same time, it has better noise resistance and plasticity (using mod...

Example Embodiment

[0116]Example two

[0117]As described below, an embodiment of the present invention provides a device for recognizing the movement of a pedestrian.

[0118]Devices that recognize pedestrian movement include:

[0119]Processor, suitable for loading and executing instructions of software programs;

[0120]The memory is adapted to store a software program, and the software program includes instructions for executing the following steps:

[0121]Get the algorithm used to recognize pedestrian movement;

[0122]Using the algorithm to identify pedestrian movement from the collected thermopile array data;

[0123]Wherein, the algorithm uses the following methods to identify pedestrian movement from the collected thermopile array data, including:

[0124]Eliminate or partially eliminate the noise in each frame data packet of the thermopile array data, and obtain the frame data packet after preliminary processing;

[0125]Determine character hot spots from the frame data packet after preliminary processing;

[0126]Respe...

Example Embodiment

[0129]Example three

[0130]As described below, an embodiment of the present invention provides a device for recognizing the movement of a pedestrian.

[0131]The difference from the prior art is that the device for recognizing pedestrian movement uses the method for recognizing pedestrian movement as provided in the embodiment of the present invention to recognize pedestrian movement from the collected thermopile array data. Therefore, the equipment that recognizes pedestrian movement can save the training cost of machine learning, save the computing power of the training process, and the reaction speed during operation is also faster.

[0132]Those of ordinary skill in the art can understand that, in the various methods of the above-mentioned embodiments, all or part of the steps can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium, and the storage medium can include : ROM, RAM, magnetic disk or CD, etc.

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Abstract

The invention discloses a pedestrian motion identification method, device and equipment, and the method comprises the steps: enabling an algorithm to recognize the pedestrian motion from collected thermopile array data through the following modes: eliminating or partially eliminating noise points in all frame data packets of the thermopile array data, and obtaining frame data packets after preliminary processing; determining a figure hotspot from the preliminarily processed frame data packet; respectively determining a moving track of each figure hotspot in the thermopile array data and tracking the moving track; and when disappearance of a certain figure hotspot from a subsequent frame data packet is found by tracking the moving track, analyzing the moving track of the figure hotspot andclassifying the figure hotspot. According to the invention, the training cost of machine learning is saved, the computing power of the training process is saved, and the response speed during operation is faster.

Description

technical field [0001] The present invention relates to the technical field of target detection, in particular to a method, device and equipment for identifying pedestrian movement. Background technique [0002] Passenger flow analysis refers to the analysis of information such as the number and identity of passenger flow in a venue. With the rise of digital operations, the demand for passenger flow analysis in offline shopping malls, stores, public transportation and other places is increasing. Passenger flow analysis equipment provides operators with accurate and professional passenger flow data, helping operators to analyze passenger flow with scientific basis. Feed back the analysis conclusions into daily operations and management, making their decisions more evidence-based and quantifiable. [0003] Passenger flow analysis equipment collects data through sensors, and processes the collected data to identify the behavior of people entering / leaving the predetermined are...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62G06N20/00
CPCG06N20/00G06V40/20G06V20/52G06V10/30G06V10/40G06F18/22G06F18/214
Inventor 姚生意刘经济朱文鲁张程
Owner 上海迈外迪网络科技有限公司
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