Moving object tracking using an adaptive colour filter

Feng Su; Gu Fang

doi:10.1109/ICARCV.2012.6485302

Moving object tracking using an adaptive colour filter

Feng Su
, Gu Fang

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

7 Citations (Scopus)

Abstract

Moving object identification and tracking by computer vision plays an important role in surveillance using mobile robots. In this paper, a new method for moving object tracking using an adaptive colour filter is introduced. This method is capable of identifying the most salient colour feature in the moving object and using this colour feature to track the object. This method is also capable of adapting this selected colour feature when the surrounding condition is changed. Experimental results have shown that the proposed method can perform robustly in tracking a moving object using a robot mounted camera in a crowded environment.

Original language	English
Title of host publication	Proceedings 12th International Conference on Control, Automation, Robotics & Vision: Guangzhou, China, 5-7th December 2012 (ICARCV 2012)
Publisher	IEEE
Pages	1048-1052
Number of pages	5
ISBN (Print)	9781467318723
DOIs	https://doi.org/10.1109/ICARCV.2012.6485302
Publication status	Published - 2012
Event	International Conference on Control_Automation_Robotics and Vision - Duration: 5 Dec 2012 → …

Conference

Conference	International Conference on Control_Automation_Robotics and Vision
Period	5/12/12 → …

Keywords

adaptive color filters
computer vision
image processing
mobile robots
object recognition
object tracking

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10.1109/ICARCV.2012.6485302

Cite this

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title = "Moving object tracking using an adaptive colour filter",

abstract = "Moving object identification and tracking by computer vision plays an important role in surveillance using mobile robots. In this paper, a new method for moving object tracking using an adaptive colour filter is introduced. This method is capable of identifying the most salient colour feature in the moving object and using this colour feature to track the object. This method is also capable of adapting this selected colour feature when the surrounding condition is changed. Experimental results have shown that the proposed method can perform robustly in tracking a moving object using a robot mounted camera in a crowded environment.",

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language = "English",

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booktitle = "Proceedings 12th International Conference on Control, Automation, Robotics \& Vision: Guangzhou, China, 5-7th December 2012 (ICARCV 2012)",

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AB - Moving object identification and tracking by computer vision plays an important role in surveillance using mobile robots. In this paper, a new method for moving object tracking using an adaptive colour filter is introduced. This method is capable of identifying the most salient colour feature in the moving object and using this colour feature to track the object. This method is also capable of adapting this selected colour feature when the surrounding condition is changed. Experimental results have shown that the proposed method can perform robustly in tracking a moving object using a robot mounted camera in a crowded environment.

KW - adaptive color filters

KW - computer vision

KW - image processing

KW - mobile robots

KW - object recognition

KW - object tracking

UR - http://handle.uws.edu.au:8081/1959.7/519213

UR - http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=19912

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M3 - Conference Paper

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BT - Proceedings 12th International Conference on Control, Automation, Robotics & Vision: Guangzhou, China, 5-7th December 2012 (ICARCV 2012)

PB - IEEE

T2 - International Conference on Control_Automation_Robotics and Vision

Y2 - 5 December 2012

ER -

Moving object tracking using an adaptive colour filter

Abstract

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Keywords

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