Coarse-to-fine particle filter by implicit motion estimation for 3D head tracking on mobile devices

Hachoen Sung, Kwontaeg Choi, Sunyoung Cho, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In this paper, we make an attempt to solving realtime 3D head tracking problem on mobile devices by enhancing the fitness of the dynamics. In our method, the particles are generated by implicit motion estimation between two particles rather than the explicit motion estimation using corresponding point matching between consecutive two frames. This generation is applied iteratively using coarse-to fine strategy in order to handle a large motion using a small number of particle. This reduces the computational cost while preserving the performance. We evaluate the efficiency and effectiveness of the proposed algorithm by empirical experiments. Finally, we demonstrate our method on a recent mobile phone.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages3615-3618
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 2010 Aug 232010 Aug 26

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period10/8/2310/8/26

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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