Static surveillance video abstraction method based on video moving target detection and tracing

A technology for moving targets and monitoring video, which is applied to components of color TVs, components of TV systems, TVs, etc. It can solve the problems of large amount of calculation, easy loss of key information in video summary methods, and difficulty in implementation.

Inactive Publication Date: 2013-07-31
XIAN JIAOTONG LIVERPOOL UNIV
View PDF3 Cites 59 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a static surveillance video summarization method based on video moving target detection and tracking, which...

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
  • Static surveillance video abstraction method based on video moving target detection and tracing
  • Static surveillance video abstraction method based on video moving target detection and tracing
  • Static surveillance video abstraction method based on video moving target detection and tracing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] The static surveillance video summarization method based on video moving target detection and tracking in the present invention comprises the following steps:

[0051] (1) Establish a mixed Gaussian background model to detect video moving targets;

[0052] (2) Kalman filter algorithm to track multiple moving targets and save the tracking data;

[0053] (3) segment the original video into multiple small segments according to the tracking data;

[0054] (4) Extract the key frame of each video clip and add the motion track at the same time.

[0055] The step of moving target detection in step (1) comprises:

[0056] (A) Establish a mixed Gaussian background model to extract the background image and initially obtain the foreground image;

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 discloses a static surveillance video abstraction method based on video moving target detection and tracing, which comprises the following steps: (1) establishing a mixed Gaussian background model detection video moving target; (2) using the kalman filtering algorithm to trace multiple moving targets and store the trace data; (3) dividing the original video into multiple segments according to the trace data; and (4)extracting the key frame of each video segment and adding the motion trail. The method is simple to realize and has better performance.

Description

technical field [0001] The invention belongs to the field of intelligent video monitoring, in particular to an intelligent monitoring video summary method, in particular to a static monitoring video summary method based on video moving target detection and tracking. Background technique [0002] With the development of digital video processing technology and the improvement of social security awareness, surveillance equipment is widely used in all walks of life, which generates a large amount of surveillance video data, making video storage, retrieval and browsing operations complicated and time-consuming . In order to quickly browse and efficiently utilize these monitoring data, video summarization technology is particularly important. [0003] Video summarization technology is to extract the main information in the video through the analysis of the video content and structure, and combine them in a certain way into a short video or video image frame that can fully express...

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): H04N21/8549H04N21/845H04N5/14
Inventor 张百灵陈颖
Owner XIAN JIAOTONG LIVERPOOL UNIV
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