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Object Searching with Combination of Template Matching

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Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9314))

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Abstract

Object searching is the identification of an object in an image or video. There are several approaches to object detection, including template matching in computer vision. Template matching uses a small image, or template, to find matching regions in a larger image. In this paper, we propose a robust object searching method based on adaptive combination template matching. We apply a partition search to resize the target image properly. During this process, we can make efficiently match each template into the sub-images based on normalized sum of squared differences or zero-mean normalized cross correlation depends on the class of the object location such as corresponding, neighbor, or previous location. Finally, the template image is updated appropriately by an adaptive template algorithm. Experiment results show that the proposed method outperforms in object searching.

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Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2011-0030079).

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Authors and Affiliations

  1. School of Information and Communications, Gwangju Institute of Science and Technology (GIST), 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 500-712, Republic of Korea

    Wisarut Chantara & Yo-Sung Ho

Authors
  1. Wisarut Chantara
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  2. Yo-Sung Ho
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Corresponding author

Correspondence to Yo-Sung Ho .

Editor information

Editors and Affiliations

  1. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  2. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jitao Sang

  3. ICU, IVY Lab, KAIST, Daejeon, Korea (Republic of)

    Yong Man Ro

  4. KAIST, Daejeon, Korea (Republic of)

    Junmo Kim

  5. College of Computer Science, Zhejiang University, Hangzhou, China

    Fei Wu

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Chantara, W., Ho, YS. (2015). Object Searching with Combination of Template Matching. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9314. Springer, Cham. https://doi.org/10.1007/978-3-319-24075-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-24075-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24074-9

  • Online ISBN: 978-3-319-24075-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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