A Robust Algorithm for Shadow Removal of Foreground Detection in Video Surveillance

Author

Wang, Chuanxu ; Zhang, Weijuan

Author_Institution

Inst. of Inf., Qingdao Univ. of Sci. & Technol., Qingdao, China

Volume

2

fYear

2009

fDate

18-19 July 2009

Firstpage

422

Lastpage

425

Abstract

We proposed an accurate algorithm to prevent moving shadows from being misclassified as part of moving objects in video target segmentation in this paper. Firstly, moving objects were achieved through background subtraction using adaptive Gaussian mixture models. Then, moving shadows were eliminated by a shadow detection algorithm. Finally, we performed a morphological reconstruction algorithm to recover the foreground distorted after shadow removal process. The experimental results proved its validity and accuracy in various fixed outdoor video scenes.

Keywords

Gaussian processes; image colour analysis; image reconstruction; image segmentation; object detection; video signal processing; video surveillance; Gaussian mixture model; HSV color space; foreground detection; morphological reconstruction algorithm; moving object detection; robust algorithm; shadow removal process; video image; video surveillance; video target segmentation; Data mining; Gaussian distribution; Image segmentation; Layout; Object detection; Reconstruction algorithms; Robustness; Shape; Space technology; Video surveillance; Gaussian mixture models; HSV color space; morphological reconstruction; shadow removal; video segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.240

Filename

5197227