Video structure processing method, system and storage device based on target behavior attribute
A technology of video structure and structured data, applied in the field of computer vision, can solve the problems of inability to process video quickly, reduce the accuracy of target features, and high video dimensions, and achieve high real-time and high-accuracy processing. Effect
Active Publication Date: 2021-08-24
SHENZHEN UNIV
View PDF8 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In the prior art, the method of image feature detection is often used for video processing, but because the dimensionality in the video will be very high, and there will be a large number of redundant features and irrelevant features, which will cause the pressure of video processing and cannot be realized. Fast video processing, and will reduce the accuracy of acquiring target features
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0021] Hereinafter, exemplary embodiments of the present application will be described with reference to the accompanying drawings. Well-known functions and constructions are not described in detail for clarity and conciseness. Terms described below, which are defined in consideration of functions in the present application, may vary according to user and operator's intention or implementation. Therefore, the terms should be defined on the basis of the disclosure throughout the specification.
[0022] see figure 1 , is a schematic flowchart of the first embodiment of the video surveillance method based on video structured data and deep learning in the present invention. The method includes:
[0023] S10: Read the video.
[0024] Optionally, reading the video includes reading real-time video collected by the camera and / or pre-recorded and saved video data. Wherein, the camera for collecting real-time video may be one of a USB camera and a network camera based on rtsp proto...
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
Login to View More Abstract
The invention discloses a method for structured video processing based on target behavior attributes. The method includes: using the YOLO target detection algorithm to obtain the basic attributes of the target; using a multi-target tracking algorithm to obtain the track information of the detected target; The abnormal behavior analysis algorithm of stream features extracts abnormal video frames; according to the custom-built metadata structure, use the above method to obtain the corresponding target category attributes and target trajectory and other characteristic information; Correct the misdetection data; upload the obtained data to the back-end server for further processing. Through the above method, the present invention can convert unstructured video data into structured data with practical value, which improves the network transmission efficiency of the video monitoring system and reduces the load rate of the back-end server. The invention also provides a real-time processing system and device based on the target behavior attribute.
Description
technical field [0001] The invention relates to the field of computer vision, in particular to a video structure processing method, system and storage device based on target behavior attributes. Background technique [0002] With the development of intelligent monitoring technology, the processing of video is particularly important. In the prior art, the method of image feature detection is often used for video processing, but since the dimensionality of the video will be very high, and there will be a large number of redundant features and irrelevant features, this will cause the pressure of video processing and cannot be realized. The video is processed quickly, and the accuracy of obtaining target features will be reduced. Therefore, in order to meet the needs of the development of intelligent monitoring technology, a video processing method and a video processing system with high real-time performance and high accuracy are required. Contents of the invention [0003]...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F16/783G06F16/71G06N3/04
CPCG06F16/71G06F16/7837G06V20/41G06V20/52G06N3/045
Inventor 谢维信王鑫高志坚
Owner SHENZHEN UNIV