DocumentCode
1199150
Title
Pedestrian Segmentation From Uncalibrated Monocular Videos Using a Projection Map
Author
Jo, Younggwan ; Nam, Woonhyun ; Han, Joon Hee
Author_Institution
Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang
Volume
16
Issue
7
fYear
2009
fDate
7/1/2009 12:00:00 AM
Firstpage
604
Lastpage
607
Abstract
We present a new method for segmenting the foreground region of the image of multiple pedestrians from monocular surveillance videos. This method requires neither camera calibration nor planar ground assumption. The size and orientation of a pedestrian projection are estimated at each image point and registered in a pedestrian projection map. Individual pedestrians are segmented from the foreground region of input images using an expectation maximization (EM) algorithm and the constructed map.
Keywords
expectation-maximisation algorithm; image registration; image segmentation; video signal processing; video surveillance; expectation maximization algorithm; foreground region segmentation; image registration; pedestrian projection map orientation; pedestrian segmentation; uncalibrated monocular videos; video surveillance; Conditional probability of foregroundness; pedestrian projection map; pedestrian segmentation;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2009.2018318
Filename
4803765
Link To Document