Person tracking with a mobile robot using particle filters in complex environment

Ho Sang Kwon; Young Joong Kim; Myo Taeg Lim

doi:10.1117/12.664776

Person tracking with a mobile robot using particle filters in complex environment

Ho Sang Kwon, Young Joong Kim, Myo Taeg Lim

School of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.

Original language	English
Article number	60423S
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6042 II
DOIs	https://doi.org/10.1117/12.664776
Publication status	Published - 2005
Event	ICMIT 2005: Control Systems and Robotics - Chongging, China Duration: 2005 Sept 20 → 2005 Sept 23

Keywords

Image processing
Mobile robot
Particle filter
Visual tracing

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.664776

Cite this

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title = "Person tracking with a mobile robot using particle filters in complex environment",

abstract = "Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.",

keywords = "Image processing, Mobile robot, Particle filter, Visual tracing",

author = "Kwon, {Ho Sang} and Kim, {Young Joong} and Lim, {Myo Taeg}",

year = "2005",

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volume = "6042 II",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - Kwon, Ho Sang

AU - Kim, Young Joong

AU - Lim, Myo Taeg

PY - 2005

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N2 - Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.

AB - Based on a particle filter, a method that mobile robots can track a person in complex environment was presented. The problem of person following for mobile robot has been researched many different areas. The main issues of following a person are real time constraint, motion change of person during the tracking and occlusion with other objects. Using appearance-adaptive models in a particle filter, a robust visual tracking algorithm was realized. The appearance-adaptive model can handle occlusion with other people while the target is moving.

KW - Image processing

KW - Mobile robot

KW - Particle filter

KW - Visual tracing

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U2 - 10.1117/12.664776

DO - 10.1117/12.664776

M3 - Conference article

AN - SCOPUS:33644958795

SN - 0277-786X

VL - 6042 II

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 60423S

T2 - ICMIT 2005: Control Systems and Robotics

Y2 - 20 September 2005 through 23 September 2005

ER -

Person tracking with a mobile robot using particle filters in complex environment

Abstract

Keywords

ASJC Scopus subject areas

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