Adaptive window search using semantic texton forests for real-time object detection

Yuki Ono, Abdul Raziz Junaidi, Tadahiro Kuroda

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

    1 Citation (Scopus)

    Abstract

    We propose a new window search method to realize real-time object detection. Our method generates windows adaptively for objects' shapes and scales to detect various size objects. It also achieves real-time window search by using fast estimation of object's location based on existence probability of an object. Experiment results demonstrate that the proposed method reduces the number of windows drastically compared with exhaustive search. Furthermore, our method reduces the processing time while maintaining recall compared with the state-of-the art method when the numbers of searched windows are same in Pascal VOC 2007 dataset.

    Original languageEnglish
    Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
    Pages3293-3296
    Number of pages4
    DOIs
    Publication statusPublished - 2013 Dec 1
    Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
    Duration: 2013 Sep 152013 Sep 18

    Publication series

    Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

    Other

    Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
    CountryAustralia
    CityMelbourne, VIC
    Period13/9/1513/9/18

    Keywords

    • adaptive window search
    • object detection
    • object map
    • real-time

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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  • Cite this

    Ono, Y., Junaidi, A. R., & Kuroda, T. (2013). Adaptive window search using semantic texton forests for real-time object detection. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 3293-3296). [6738678] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738678