An algorithm for segmenting moving vehicles

Su Zhang; Hanfeng Chen; Zheru Chi; Pengfei Shi

An algorithm for segmenting moving vehicles

Su Zhang, Hanfeng Chen, Zheru Chi, Pengfei Shi

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

3 Citations (Scopus)

Abstract

An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains 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 vehicle from noisy scenes.

Original language	English
Pages (from-to)	369-372
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
Publication status	Published - 25 Sept 2003
Event	2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: 6 Apr 2003 → 10 Apr 2003

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Acoustics and Ultrasonics

Cite this

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title = "An algorithm for segmenting moving vehicles",

abstract = "An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains 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 vehicle from noisy scenes.",

author = "Su Zhang and Hanfeng Chen and Zheru Chi and Pengfei Shi",

year = "2003",

month = sep,

day = "25",

language = "English",

volume = "3",

pages = "369--372",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "IEEE",

note = "2003 IEEE International Conference on Accoustics, Speech, and Signal Processing ; Conference date: 06-04-2003 Through 10-04-2003",

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TY - JOUR

T1 - An algorithm for segmenting moving vehicles

AU - Zhang, Su

AU - Chen, Hanfeng

AU - Chi, Zheru

AU - Shi, Pengfei

PY - 2003/9/25

Y1 - 2003/9/25

N2 - An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains 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 vehicle from noisy scenes.

AB - An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains 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 vehicle from noisy scenes.

UR - http://www.scopus.com/inward/record.url?scp=0141564808&partnerID=8YFLogxK

M3 - Conference article

SN - 1520-6149

VL - 3

SP - 369

EP - 372

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing

Y2 - 6 April 2003 through 10 April 2003

ER -

An algorithm for segmenting moving vehicles

Abstract

ASJC Scopus subject areas

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