Reliable people tracking approach for mobile robot in indoor environments

Robotics and Computer-Integrated Manufacturing

Volumn 26, Issue 2, 2010, Pages 174-179

  Hu, Chunhua ^a   Ma, Xudong ^b   Dai, Xianzhong ^b   Qian, Kun ^b  

^a JIANGSU UNIVERSITY OF TECHNOLOGY   (China)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Mobile robot; Specific person; Tracking

Indexed keywords

COMPUTATIONAL COSTS; GABOR WAVELETS; INDOOR ENVIRONMENT; MOBILE ROBOT VISION; NOVEL METHODS; PEOPLE TRACKING; PERSON TRACKING; SPECIFIC PERSON; UNSCENTED PARTICLE FILTERS;

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER VISION; COST REDUCTION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MOBILE ROBOTS;

TARGET TRACKING;

EID: 71849089830     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2009.07.004     Document Type: Article

References (15)

1. Seo K.H., Shin J.H., Kim W., and Lee J.J. Real-time object tracking and segmentation using adaptive color snake model. International Journal of Control, Automation, and Systems 4 2 (2006) 236-246
2. Song KT, Chen WJ, Face recognition and tracking for human-robot interaction. In: IEEE international conference on systems, man and cybernetics, The Hague, Netherlands: Vol. 3. 2004. p. 2877-82.
3. Kwon H, Yoon Y, Park JB, Kak AC. Person tracking with a mobile robot using two uncalibrated independently moving cameras. In: IEEE international conference on robotics and automation. Barcelona, Spain: 2005. p. 2877-83.
4. Fod A, Howard A, aMataric MJ. Laser based people tracking. In: proc of the IEEE international conference on robotics & automation (ICRA). Vol. 3. Washington, DC, United States: 2002. p. 3024-9.
5. Montemerlo M, Thun S, Whittaker W. Conditional particle filters for simultaneous mobile robot localization and people-tracking. In: Proceedings of the IEEE international conference on robotics & automation (ICRA). Washington, DC, USA: Vol. 1. 2002. P. 695-701.
6. Scheutz M, McRaven J, Cserey G. Fast, reliable, adaptive, bimodal people tracking for indoor environments. In: Proceedings of the 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS'04). Vol. 2. Sendai, Japan: 2004. p. 1347-52.
7. Fritsch J., Kleinehagenbrock M., Lang S., Fink G.A., and Sagerer G. Audiovisual person tracking with a mobile robot. In: Groen F., et al. (Ed). Proceedings of the international conference on intelligent autonomous systems (2004), IOS Press, Amsterdam 898-906
8. Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using mean shift. In: Proceedings of IEEE conference on computer vision and pattern recognition. Vol. 1. Hilton Head, SC: 2001. p. 142-9.
9. Boykov Y, Huttenlocher D. Adaptive bayesian recognition in tracking rigid objects. In: Proceedings of IEEE conference on computer vision and pattern recognition. Vol. 2. Hilton Head, SC: 2000. p. 697-704.
10. Isard M, Blake A. Visual tracking by stochastic propagation of conditional density. In: Proceedings of the fourth European conference computer vision. Cambridge, UK: 1996. p. 343-56.
11. Merwe R, Doucet A, Freitas N, Wan E. The unscented particle filter, Technical Report CUED/F-INFENG/TR 380, Cambridge University Engineering Department, 2000.
12. Porikli F, Tuzel O, Meer P. Covariance tracking using model update based on means on riemannian manifolds. In: computer vision and pattern recognition. Vol. 1. New York City: 2006. p. 728-35.
13. Bicego M, Castellani U, Murino V. Using hidden Markov models and wavelets for face recognition. In: Proceedings of 12th international conference on image analysis and processing. Mantova, Italy: 2003. p. 52-6.
14. Okada K., Steffans J., Maurer T., Hong H., Elagin E., Neven H., et al. The bochum/USC face fecognition system and how it fared in the FERET phase III test. In: Wechsler H., et al. (Ed). Face recognition: from theory to applications (1998), Springer 186-205
15. Rui Y, Chen YQ. Better proposal distributions: object tracking using unscented particle filter. In: Proceedings of IEEE international conference on computer vision and pattern recognition. Vol. 2. Kauai, HI, USA: 2001. p. 786-94.