Behavior recognition method and device based on deep learning, equipment and storage medium

A technology of deep learning and recognition methods, applied in the computer field, can solve problems such as pedestrian errors, monitoring and management measures for pedestrian violations and law enforcement, and facility law enforcement

Inactive Publication Date: 2019-08-16
WUHAN ZONGHENG TRAFFIC ENG CO LTD
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the management system of traffic management is mainly aimed at the video recognition monitoring and law enforcement of motor vehicle violations, but there is no effective law enforcement for the monitoring management measures and facilities of pedestrian violations. With the specialization and refinement of intell

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  • Behavior recognition method and device based on deep learning, equipment and storage medium
  • Behavior recognition method and device based on deep learning, equipment and storage medium
  • Behavior recognition method and device based on deep learning, equipment and storage medium

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Embodiment Construction

[0050] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0051] refer to figure 1 , figure 1 It is a schematic diagram of the structure of the deep learning-based behavior recognition device of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0052] Such as figure 1As shown, the device may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a button, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface...

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Abstract

The invention discloses a behavior recognition method and device based on deep learning, equipment and a storage medium. The method comprises the steps of collecting walking behavior information of pedestrians on a preset road section within a preset time range before a red light is turned on; extracting current static image information and current optical flow image information in the walking behavior information; performing behavior recognition on the current static image information through a deep learning static image behavior recognition model to obtain a static behavior recognition result; performing behavior recognition on the current optical flow image information through a deep learning dynamic image behavior recognition model to obtain a dynamic behavior recognition result; performing behavior recognition on the walking behavior information according to the static behavior recognition result and the dynamic behavior recognition result; and performing behavior recognition on the walking behavior information according to the static behavior recognition result and the dynamic behavior recognition result, thereby improving the behavior recognition accuracy.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a behavior recognition method, device, equipment and storage medium based on deep learning. Background technique [0002] At present, the management system of traffic management is mainly aimed at the video recognition monitoring and law enforcement of motor vehicle violations, but there is no effective law enforcement for the monitoring management measures and facilities of pedestrian violations. With the specialization and refinement of intelligent traffic management system , The public security traffic police will gradually use proprietary technology to carry out targeted law enforcement management for pedestrians running red lights and other violations. However, there are still large errors in the behavior recognition of pedestrians during the capture process. Contents of the invention [0003] The main purpose of the present invention is to propose a behavior rec...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G08G1/017
CPCG06N3/08G08G1/0175G06V40/20G06N3/045
Inventor 刘江锋
Owner WUHAN ZONGHENG TRAFFIC ENG CO LTD
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