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

2 May 2006 Person tracking with a mobile robot using particle filters in complex environment

Ho Sang Kwon, Young Joong Kim, Myo Taeg Lim

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60423S (2006) https://doi.org/10.1117/12.664776
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Ho Sang Kwon, Young Joong Kim, and Myo Taeg Lim "Person tracking with a mobile robot using particle filters in complex environment", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60423S (2 May 2006); https://doi.org/10.1117/12.664776

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available