Monitoring video pedestrian real-time detection, attribute identification and tracking method and system based on deep learning

A monitoring video and pedestrian detection technology, applied in biometrics, character and pattern recognition, instruments, etc., can solve the problems of single monitoring function and low monitoring efficiency, achieve low computing efficiency, ensure personal and property safety, and suppress crimes Effect

Inactive Publication Date: 2019-08-30
PEKING UNIV +1
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention solves the problem of single monitoring function and low monitoring efficiency of the road scene secu

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  • Monitoring video pedestrian real-time detection, attribute identification and tracking method and system based on deep learning
  • Monitoring video pedestrian real-time detection, attribute identification and tracking method and system based on deep learning
  • Monitoring video pedestrian real-time detection, attribute identification and tracking method and system based on deep learning

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Embodiment Construction

[0046] The present invention will be described in further detail below through specific embodiments and accompanying drawings.

[0047] 1. Pedestrian detection algorithm

[0048] With the advancement of computer vision technology, pedestrian detection algorithms are becoming more and more diverse. The mainstream pedestrian detection algorithms can be divided into two categories, one-stage algorithm and two-stage algorithm. Since the one-stage algorithm only adjusts the pedestrian detection frame once, it is often not as accurate as the two-stage algorithm in the positioning of pedestrians. In order to improve the accuracy of the pedestrian detection algorithm, the present invention adopts a two-stage algorithm Feature Pyramid Network (feature pyramid network, see "Feature PyramidNetworks for Object Detection", https: / / arxiv.org / abs / 1612.03144), such as figure 1 shown.

[0049]Feature extraction is divided into two processes, bottom-up process and top-down process. In the b...

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Abstract

The invention relates to a monitoring video pedestrian real-time detection, attribute identification and tracking method and system based on deep learning. The invention mainly provides an efficient pedestrian detection, attribute identification and tracking method, designs an efficient scheduling method, and performs series-parallel scheduling on modules, so that the modules can perform multi-channel video pedestrian real-time detection, attribute identification and tracking as much as possible on limited computing resources. The problems in the prior art of single monitoring function of a road scene security and protection system and that monitoring efficiency is not high are solved. The efficient multifunctional security and protection system for road scene security and protection monitoring is provided. During application, through monitoring, attribute recognition and tracking on pedestrians, the monitoring strength and intensity are enhanced, especially for important places such as airports, stations and subways, crimes can be effectively restrained, and the personal and property safety of national people is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of security monitoring and relates to security monitoring applied to road scenes, in particular to a method and system for real-time detection, attribute identification and tracking of pedestrians in monitoring video based on deep learning. Background technique [0002] On the one hand, people pay more and more attention to the safety of public places. The security system is an important technical means to implement security prevention and control. Under the current situation of expanding security demand, its application in the field of security technology prevention is becoming more and more extensive. On the other hand, due to the development of information technology, the amount of data generated and processed by applications is increasing, and parallel processing is the only way to process massive data. [0003] Due to the constraints of algorithms and computing power, the existing security system eithe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F18/253
Inventor 陈刚郑良锋刘臣臣王成成黄波韩峻糜俊青穆亚东
Owner PEKING UNIV
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