Static object detecting method and system

A static object and foreground technology, applied to TV system parts, color TV parts, TV, etc., can solve the problem of inaccurate detection of stationary objects, achieve the effect of reducing the number, reducing the update area, and avoiding the impact

Active Publication Date: 2007-08-29
中星智能系统技术有限公司
View PDF0 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a method and system for detecting stationary objects to solve the problem of inaccurate detection of stationary objects in the prior art

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 object detecting method and system
  • Static object detecting method and system
  • Static object detecting method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to solve the problem of inaccurate detection of stationary objects in the prior art, when matching the target foreground with the historical foreground, the embodiment of the present invention classifies the matching results in detail, and performs corresponding processing according to different results, which can be more accurate Detects stationary objects. In addition, the embodiment of the present invention improves the process of obtaining the background image, the process of updating the background image, and the process of obtaining the foreground of the target, so as to detect the stationary object more accurately.

[0040] Referring to FIG. 1, the system for detecting static objects in this embodiment includes: a background image extraction device 101, a background image update device 102, a static object detection device 103 and a central control device 104.

[0041] The central control device 104 obtains the video data, and schedules the background 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

Being in use for solving issue that still object cannot be detected precisely currently. The method includes steps: comparing each target foreground (TF) in current image frame with each historical foreground (HF); when determining it is existed that both ratios of crossed area between a TF and a HF to first area of the TF, and to second area of the HF respectively are not smaller than prearranged first threshold value, the method updates parameter value, which is in use for marking a HF is matched; when determining that second area ratio is not smaller than first threshold value, first area ratio is smaller than first threshold value, and crossed area is as area of HF, and the first area ratio is not larger than prearranged second threshold value, the method considers a TF as a HF; ensuring that a HF corresponding matched parameter value reaching to third threshold value is as a still object. The invention also discloses devices and system for detecting still object.

Description

Technical field [0001] The invention relates to the field of computer and electronic technology, in particular to a method and system for detecting stationary objects. Background technique [0002] At present, most public places are equipped with cameras to detect leftovers, or to monitor whether valuable objects have been moved, or whether there are objects in sensitive areas that have been stagnant for a long time. Based on the above-mentioned purposes, automatic detection of stationary objects has become an important research direction. [0003] The basic method of stationary object detection in the prior art is: first obtain the background image, then obtain the target foreground in the current image according to the current image and the background image, and then match the target foreground with the historical foreground. If they match, the historical foreground is considered It can be seen, otherwise the historical foreground is deleted, and the target foreground is regard...

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): H04N5/14
Inventor 谢东海黄英邓亚峰王浩
Owner 中星智能系统技术有限公司
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