Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19814
Title: An algorithm for segmenting moving vehicles
Authors: Zhang, S
Chen, H
Chi, Z 
Shi, P
Keywords: Image motion analysis
Image segmentation
Image sequences
Object detection
Road vehicles
Video signal processing
Issue Date: 2003
Publisher: IEEE
Source: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong, v. 3, p. III369-III372 How to cite?
Journal: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 
Abstract: An algorithm for region-based moving object segmentation is presented. The gray-scale image segmentation based on the mean shift algorithm (MSA) is first performed to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constraints of the motion vector image is then carried out to detect moving pixels robustly. Finally, each homogeneous region is labeled as either a moving-object region or a non-moving-object region according to the number of moving pixels it contains. Experimental results show that our algorithm is effective and robust in segmenting moving vehicles from noisy scenes.
URI: http://hdl.handle.net/10397/19814
ISBN: 0-7803-7663-3
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2003.1199488
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

32
Last Week
0
Last month
Checked on May 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.