Video motion shadow detecting method based on lighting compensation

A shadow detection and illumination compensation technology, applied in image data processing, instrumentation, calculation, etc., can solve the problems of poor adaptability to scene changes, poor detection results, and single features.

Inactive Publication Date: 2014-03-26
PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Local texture and regional texture methods have relatively poor detection results for regions with inconspicuous texture features, and need to continuously adjust the size of the region according to scene changes to obtain accurate results
In addition, there are some methods that combine multiple features such as color and texture, but th

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
  • Video motion shadow detecting method based on lighting compensation
  • Video motion shadow detecting method based on lighting compensation
  • Video motion shadow detecting method based on lighting compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Below in conjunction with accompanying drawing the present invention is described in further detail:

[0050] Aiming at the deficiencies in the prior art, the present invention proposes a motion shadow elimination method based on illumination compensation. This method first uses the background subtraction method to obtain the foreground area with moving shadows, and then uses color features to extract candidate shadow areas, and estimates the parameters of illumination compensation by randomly sampling samples in these areas, and then uses the compensated background area again The difference is made with the foreground area, and finally the sporadic interference is removed by morphological filtering, so as to obtain a complete shadow area. This method does not need to make any assumptions about the scene, nor does it require manual intervention. Compared with other multi-feature shadow detection methods, it can reasonably fuse multiple features, and has the advantages o...

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 a video motion shadow detecting method based on lighting compensation. The method includes: using a background differencing method to obtain the foreground area with motion shadows, using color features to extract candidate shadow areas, randomly sampling the areas to estimate the parameters of lighting compensation, and differencing the compensated background area with the foreground area to obtain the motion shadow detecting result. The method has the advantages that any scene assumption can be avoided, and manual intervention is not needed; compared with other multi-feature shadow detecting methods, the method can fuse multiple features reasonably, instantaneity and accuracy are achieved, and the method is well applicable to scene and environmental variations.

Description

technical field [0001] The invention belongs to the field of video image processing, and relates to a motion shadow detection method capable of adapting to scene changes, in particular to a video motion shadow detection method based on illumination compensation. Background technique [0002] Moving target detection (foreground detection) is a basic and important task based on computer vision monitoring. Accurate and effective detection results are the prerequisite and foreshadowing for subsequent advanced applications such as target tracking, target recognition, and scene understanding. However, due to the influence of the environment and the actual scene of video surveillance, the result of moving object detection often contains a lot of false information, and moving shadow is the most common form. Motion shadow is a kind of projection caused by the light occlusion of some areas in the scene due to the object's occlusion of light during motion. The significant difference 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
IPC IPC(8): G06T7/00
Inventor 李艾华苏延召金广智姜柯石林锁王涛蔡艳平刘浩
Owner PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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