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Grouping Active Contour Fragments for Object Recognition

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Computer Vision – ACCV 2012 (ACCV 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7724))

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Abstract

In this paper, we try to address the challenging problem of combining local shape features to describe long and continuous shape characteristics. To this end, we firstly propose a novel type of local shape feature, namely Active Contour Fragment (ACF), to encode the shape deformation in a local region. An ACF is automatically learnt from the contours of a specific object class and capable to describe the intra-class shape characteristics based on the point distribution model. Secondly, we combine multiple ACFs into a group, namely Active Contour Group (ACG), to describe the long shape characteristics .We model the ACFs in an ACG using an undirected chain model and estimate the parameters of the chain model in a subspace for accelerating the learning and matching processes of ACGs. Finally, we discriminatively train the classifiers based on ACFs and ACGs in a boosting framework for localizing objects as well as delineating object boundaries. Both qualitative and quantitative evaluations show that our approach is capable of describing long shapes and the proposed recognition algorithm achieves promising performance on the public datasets.

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Author information

Authors and Affiliations

  1. Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China

    Wei Zheng, Songlin Song, Hong Chang & Xilin Chen

  2. Institute of Computing Technology, CAS, Beijing, 100190, China

    Wei Zheng, Songlin Song, Hong Chang & Xilin Chen

  3. Graduate School of the Chinese Academy of Sciences, Beijing, 100039, China

    Wei Zheng & Songlin Song

Authors
  1. Wei Zheng
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  2. Songlin Song
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  3. Hong Chang
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  4. Xilin Chen
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, 151-744, Gwanak-gu, Seoul, Korea

    Kyoung Mu Lee

  2. Microsoft Research Asia, No. 5, Danling st., Haidian district, 100080, Beijing, P.R. China

    Yasuyuki Matsushita

  3. School of Interactive Computing, Georgia Institute of Technology, 801 Atlantic Drive, CCB 315, 30332, Atlanta, GA, USA

    James M. Rehg

  4. Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Zhong Quan Cun East Road 95, Haidian District, 100 190, Beijing, P.R. China

    Zhanyi Hu

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© 2013 Springer-Verlag Berlin Heidelberg

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Zheng, W., Song, S., Chang, H., Chen, X. (2013). Grouping Active Contour Fragments for Object Recognition. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37331-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-37331-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37330-5

  • Online ISBN: 978-3-642-37331-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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