Identification of mobile entities based on trajectory and shape information

Zeynep Yucel, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita

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

6 Citations (Scopus)

Abstract

This paper proposes a simple yet novel method for recognition of certain sorts of moving entities incorporating their shape and motion patterns. Although shape features have been commonly employed in object recognition, motion characteristics are in general not integrated to geometric models. In the interest of utilizing the motion attributes, the trajectories are investigated to extract the 'coherence quality' of the entities. Besides, at every step a geometric shape model is adopted and the parameters defining the shape model are utilized in obtaining the prior probabilities of the entities being a member of a particular class of interest. The coherence quality is used to get the posterior probabilities through a Bayesian approach. The main contribution of this paper is the incorporation of coherence quality in identification of moving entities. The proposed method is tested against clutter and occlusion in an uncontrolled environment with patterns collected from over 500 entities. It is shown to yield a satisfactory performance rate of 92% over the entire dataset with significant generalization capabilities without any restrictions on the application setting and with considerable occlusion and clutter.

Original languageEnglish
Title of host publicationIROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Subtitle of host publicationCelebrating 50 Years of Robotics
Pages3589-3594
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11 - San Francisco, CA, United States
Duration: Sep 25 2011Sep 30 2011

Other

Other2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11
CountryUnited States
CitySan Francisco, CA
Period9/25/119/30/11

Fingerprint

Trajectories
Object recognition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Yucel, Z., Ikeda, T., Miyashita, T., & Hagita, N. (2011). Identification of mobile entities based on trajectory and shape information. In IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics (pp. 3589-3594). [6048433] https://doi.org/10.1109/IROS.2011.6048433

Identification of mobile entities based on trajectory and shape information. / Yucel, Zeynep; Ikeda, Tetsushi; Miyashita, Takahiro; Hagita, Norihiro.

IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics. 2011. p. 3589-3594 6048433.

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

Yucel, Z, Ikeda, T, Miyashita, T & Hagita, N 2011, Identification of mobile entities based on trajectory and shape information. in IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics., 6048433, pp. 3589-3594, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11, San Francisco, CA, United States, 9/25/11. https://doi.org/10.1109/IROS.2011.6048433
Yucel Z, Ikeda T, Miyashita T, Hagita N. Identification of mobile entities based on trajectory and shape information. In IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics. 2011. p. 3589-3594. 6048433 https://doi.org/10.1109/IROS.2011.6048433
Yucel, Zeynep ; Ikeda, Tetsushi ; Miyashita, Takahiro ; Hagita, Norihiro. / Identification of mobile entities based on trajectory and shape information. IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics. 2011. pp. 3589-3594
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