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Person Identification with Pose and Identification of Known Associates

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Proceedings of 2nd International Conference on Computer Vision & Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 704))

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Abstract

This paper presents a novel application of face recognition method to identify known associates of a person and is also capable to identify a person with pose using one sample per person. The proposed method uses 3D face models. Each 3D face model is generated from a single 2D face image and contains more than eleven thousand faces and six thousand vertices. This detailed information helps to maintain the texture and shape of the face moreover increases face recognition rate. In this proposed method, unrecognized faces are stored in the secondary database and transferred from secondary to primary database if they are recognized more than the threshold value which is set experimentally. Based on this face recognition method, a new technique has been developed to create groups of people those who are seen mostly together in videos which later helps to identify the known associates of a recognized face. This system has been named as “Kore” and can be used by the security agencies to identify the known associates of a suspicious person.

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Author information

Authors and Affiliations

  1. Thapar University, Patiala, India

    Arun Singh

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  1. Arun Singh
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Correspondence to Arun Singh .

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Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Mohan S. Kankanhalli

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Singh, A. (2018). Person Identification with Pose and Identification of Known Associates. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-10-7898-9_6

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  • DOI: https://doi.org/10.1007/978-981-10-7898-9_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7897-2

  • Online ISBN: 978-981-10-7898-9

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