Removal shadow with background subtraction model ViBe algorithm

Author

Feiling Chen ; Bin Zhu ; Wenlin Jing ; Lin Yuan

Author_Institution

Res. Center, Jiangsu Security & Video Surveillance Eng., Nanjing, China

fYear

2013

fDate

23-24 Dec. 2013

Firstpage

264

Lastpage

269

Abstract

Removal shadow is an important step in many video surveillance applications. But shadow pixels belong to motion foreground and often misclassified as object during segmentation and tracking. Currently are many algorithms that deal with shadow in different color spaces in papers. However, it is not effective to determine the shadow segmentation and remove the shadow. In this paper, we study the invariant color features with the background model of Visual Background Extractor (ViBe) elimination moving object shadow, and repair pixels must be foreground not be shadow part, and this pixels enhance foreground mask convexity.

Keywords

image colour analysis; image motion analysis; image segmentation; object tracking; video surveillance; ViBe elimination moving object shadow; background model; background subtraction model ViBe algorithm; color features; color spaces; foreground mask convexity; motion foreground; object segmentation; object tracking; removal shadow; repair pixels; shadow pixels; shadow segmentation; video surveillance application; visual background extractor elimination; Cameras; Color; Detectors; Feature extraction; Image color analysis; Motion segmentation; Visualization; Invariant Color Features; Motion Detection; Removal Shadow; ViBe;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on

Conference_Location

Toronto, ON

Type

conf

DOI

10.1109/IMSNA.2013.6743265

Filename

6743265