Abnormal behavior detection and tracking method and device, readable storage medium and equipment

A behavioral and abnormal technology, applied in image data processing, instruments, calculations, etc., can solve problems such as abnormal behaviors that are easy to track and fail

Active Publication Date: 2021-12-31
江西中业智能科技有限公司 +1
View PDF13 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, the object of the present invention is to provide a method, device, readable storage medium and equipment for abnormal behavior detection and tracking, so as to solve the existing technical problem that abnormal behavior is easy to track and fail when the external environment changes greatly

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Abnormal behavior detection and tracking method and device, readable storage medium and equipment
  • Abnormal behavior detection and tracking method and device, readable storage medium and equipment
  • Abnormal behavior detection and tracking method and device, readable storage medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] see figure 1 , shows the abnormal behavior detection and tracking method in the first embodiment of the present invention, the abnormal behavior detection and tracking method can be implemented by software and / or hardware, and the method specifically includes steps S01-step S03.

[0056] Step S01 , controlling the camera device to patrol the target area, and acquiring the current target picture captured by the camera device.

[0057] In specific implementation, the camera device can specifically be a high-definition camera, and the camera device can be connected with mechanisms such as a mechanical arm bracket and a steering gear. The steering gear can be used to drive the camera device to rotate within a certain angle range, so that the camera device can be multi-angle and multi-position to "see" objects within the field of view. Therefore, in a specific application, the camera device can be controlled to patrol the target area autonomously by controlling the steerin...

Embodiment 2

[0090] see figure 2 , shows the abnormal behavior detection and tracking method in the second embodiment of the present invention, the abnormal behavior detection and tracking method can be implemented by software and / or hardware, and the method specifically includes step S11-step S17.

[0091] Step S11 , controlling the camera device to patrol the target area, and acquiring the current target picture captured by the camera device.

[0092] Step S12, inputting the current target picture into an abnormal behavior detection model for abnormal behavior detection, and the abnormal behavior detection model is updated according to the environment change.

[0093] Step S13 , when the abnormal behavior detection model recognizes an abnormal behavior in the current target picture, copy the current target picture by a preset number of copies to obtain multiple copies of the current target picture.

[0094] Step S14, performing rotation, brightness change and / or adding noise processing...

Embodiment 3

[0123] Another aspect of the present invention also provides an abnormal behavior detection and tracking device, please refer to image 3 , which shows the abnormal behavior detection and tracking device in the third embodiment of the present invention, the abnormal behavior detection and tracking device includes:

[0124] The picture acquisition module 11 is used to control the camera device to patrol the target area, and obtain the current target picture taken by the camera device;

[0125] The target detection module 12 is used to input the current target picture into the abnormal behavior detection model to perform abnormal behavior detection, and the abnormal behavior detection model is updated according to environmental changes;

[0126] The target tracking module 13 is used to track the abnormal behavior through the Kalman filter algorithm when the abnormal behavior detection model recognizes the abnormal behavior in the current target picture;

[0127] Wherein, the ta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an abnormal behavior detection and tracking method and device, a readable storage medium and equipment. The method comprises the steps of controlling a camera device to inspect a target region, and obtaining a current target picture shot by the camera device; inputting the current target picture into an abnormal behavior detection model for abnormal behavior detection, wherein the abnormal behavior detection model is updated according to environment change; and when the abnormal behavior detection model recognizes an abnormal behavior in the current target picture, tracking the abnormal behavior through a Kalman filtering algorithm. The abnormal behavior detection model can adapt to environment change through adaptive learning, so that the abnormal behavior can be effectively and accurately identified in various environments, and the abnormal behavior is ensured not to fail in tracking.

Description

technical field [0001] The present invention relates to the technical field of picture information recognition, in particular to a method, device, readable storage medium and equipment for abnormal behavior detection and tracking. Background technique [0002] At present, target detection and tracking have made breakthroughs in the field of computer vision, and can be seen in robotics, drones, intelligent monitoring, industrial inspection, aerospace and other fields. The use of computer vision technology has shown very important practical significance in reducing the consumption of human resource costs. Among them, abnormal behavior detection and tracking is one of the common target detection and tracking. [0003] Since 2012, target detection algorithms based on neural networks have entered a period of rapid development, such as AlexNet, RCNN, Fast RCNN, ResNet, Mask RCNN, YOLO, SSD, and variants of their corresponding detection algorithms. Target tracking is also an impo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/215G06T7/246G06T7/277G06T7/194
CPCG06T7/215G06T7/246G06T7/277G06T7/194G06T2207/10004
Inventor 高园岗张恒星刘丹
Owner 江西中业智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap