New object detection for on-board robot vision by lifting complex wavelet transforms

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

5 Citations (Scopus)

Abstract

This paper aims to develop a fast algorithm for detecting a new object from video sequences captured by onboard robot vision. We first propose lifting complex wavelet, which is a new method for extracting local features in an image. The proposed lifting complex wavelet transforms can be detected the features faster than the conventional SIFT algorithm. Our new object detection is performed by using an overlap ratio between the local features of current- and past-frames. In experiments, we show that new objects can be detected fast from on-board robot vision.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Pages911-916
Number of pages6
DOIs
Publication statusPublished - Dec 1 2011
Event11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 - Vancouver, BC, Canada
Duration: Dec 11 2011Dec 11 2011

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
CountryCanada
CityVancouver, BC
Period12/11/1112/11/11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Takano, S., & Suzuki, E. (2011). New object detection for on-board robot vision by lifting complex wavelet transforms. In Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 (pp. 911-916). [6137478] (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDMW.2011.129