DocumentCode
2226060
Title
Research on Moving Object Detecting and Shadow Removal
Author
Li Dan ; Qian Jiansheng
Author_Institution
Dept. of Inf. & Electr. Eng., CUMT, Xuzhou, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1406
Lastpage
1410
Abstract
The paper uses new methods to detect moving objects under different illumination environment. Improved on-line Gaussian Mixture Model combines background subtraction method is used to update the background image under gradual illumination changes environment and color gradient combines morphologic method to update the background image under sudden illumination changes environment. After analyzing the brightness and sensitivity characteristics of shadow in different colorspace such as RGB,HSV,YCbCr etc. The paper points out HSV colorspace is suitable to remove visible shadow and YCbCr colorspace is suitable to remove invisible shadow. The experiment shows that the system is effective and feasible.
Keywords
Gaussian processes; brightness; gradient methods; mathematical morphology; object detection; Gaussian mixture model; HSV colorspace; brightness characteristics; color gradient; gradual illumination; morphologic method; moving object detecting research; sensitivity characteristics; shadow removal; Brightness; Change detection algorithms; Image motion analysis; Information science; Layout; Lighting; Noise figure; Object detection; Optical filters; Optical sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.970
Filename
5455262
Link To Document