Method for detecting video stop event based on self-adapting double-background model

A background model and event detection technology, applied in CCTV systems, image data processing, instruments, etc., can solve problems such as not yet retrieved, and achieve the effect of improving real-time alarming, saving labor costs, and saving labor costs

Active Publication Date: 2010-09-29
WISESOFT CO LTD
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far in China, no similar technology or related patent reports have been retrieved

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
  • Method for detecting video stop event based on self-adapting double-background model
  • Method for detecting video stop event based on self-adapting double-background model
  • Method for detecting video stop event based on self-adapting double-background model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] see figure 1 Figure 1.5 figure 2 image 3 It can be seen that figure 1 It is the whole process of the video no-stop event based on the dual-background model described in the present invention, in which the long-term and short-term background models are accurately and quickly updated, the fast target detection and tracking based on the BLOB method, the accurate detection of ghost targets, and the dual-background difference stop target detection are Specific key technical means. In the described process, the steps are as follows:

[0030] (1) Initialization of the long-term and short-term background model. Based on the mixed Gaussian model and the idea of ​​background area division, the sub-unit division of the long-term and short-term background model and the initialization of the sub-unit mixed Gaussian model are carried out.

[0031] (2) BLOB target detection, stop target, ghost target detection, Figure 1.5 The illustrated BLOB divisions include moving visual...

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 method for detecting a video stop event based on a self-adapting double-background model, which belongs to the field of the automatic detection and tracking of the video target of an intelligent type image monitoring technology (IVS). A self-adapting long / short-effect double-background model is designed and constructed, a quick target detection and tracking method is designed, the automatic stop detection of a stop event is realized by the long-effect tracking of a static / moving target, and an alarm is sent out at real time so as to overcome the defect of the prior art. The method comprises the following steps of: (1) initializing the long / short-effect double-background model; (2) carrying out BLOB target detection, stop target detection, ghost target detection and long / short-effect double-background update; (3) carrying out the quick BLOB target tracking of a heuristic method; (4) detecting the stop event and outputting the alarm; and (5) updating the selectivity of the long / short-effect double-background model. Relative to a traditional monitoring mode, the real-time property of the alarm is greatly enhanced, the intelligent type image monitoring reliability is higher, and the cost is lower.

Description

technical field [0001] The invention belongs to the field of automatic detection and tracking of video targets of intelligent image monitoring technology (IVS), and in particular relates to a method for detecting a video no-stop event based on an adaptive double-background model. Background technique [0002] The traditional event detection and monitoring method completely relies on the operators of the monitoring center to monitor the screen. Experimental data shows that after 22 minutes of monitoring, the monitoring personnel may miss up to 95% of the events that occurred on the screen. In the face of increasingly large monitoring content, under the influence of various factors such as the sense of responsibility and work status of the monitoring personnel, the traditional artificial monitoring system often has problems such as high false negative rate, slow response speed and poor reliability. Sex cannot be guaranteed. Since the monitoring system is getting bigger and b...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/20G08B21/00
Inventor 熊运余吴岳洲陈延涛鲁书贤王守厚
Owner WISESOFT CO LTD
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