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Probabilistic Active Recognition of Multiple Objects Using Hough-Based Geometric Matching Features

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New Development in Robot Vision

Part of the book series: Cognitive Systems Monographs ((COSMOS,volume 23))

Abstract

3D Object recognition is an important task for mobile platforms to dynamically interact in human environments. This computer vision task also plays a fundamental role in the areas of automated surveillance, Simultaneous Localization and Mapping (SLAM) applications for robots and video retrieval. The recognition of objects in realistic circumstances, where multiple objects may appear together with significant occlusions and clutter from distracter objects, is a complicated and challenging problem. Particularly in such situations multiple viewpoints are necessary for recognition [17] as single viewpoints may be of poor quality and not contain sufficient information to reliably recognise or verify all objects’ identities unambiguously.

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Author information

Authors and Affiliations

  1. Mobile Intelligent Autonomous Systems, CSIR, Pretoria, South Africa

    Natasha Govender & Mogomotsi Keaikitse

  2. Department of Engineering Science, Oxford University, Oxford, UK

    Philip Torr

  3. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa

    Fred Nicolls

  4. Biosciences, CSIR, Pretoria, South Africa

    Jonathan Warrell

Authors
  1. Natasha Govender
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  2. Philip Torr
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  3. Mogomotsi Keaikitse
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  4. Fred Nicolls
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  5. Jonathan Warrell
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Corresponding author

Correspondence to Natasha Govender .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, University of South Florida, Tampa, FL, USA

    Yu Sun

  2. Electrical and Computer Engineering and NanoScience Technology Center, University of Central Florida, Orlando, FL, USA

    Aman Behal

  3. Dept. of Mech. and Automation Eng., Vocational Training Council of Hong Kong, Hong Kong, China

    Chi-Kit Ronald Chung

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© 2015 Springer-Verlag Berlin Heidelberg

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Govender, N., Torr, P., Keaikitse, M., Nicolls, F., Warrell, J. (2015). Probabilistic Active Recognition of Multiple Objects Using Hough-Based Geometric Matching Features. In: Sun, Y., Behal, A., Chung, CK. (eds) New Development in Robot Vision. Cognitive Systems Monographs, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43859-6_6

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  • DOI: https://doi.org/10.1007/978-3-662-43859-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43858-9

  • Online ISBN: 978-3-662-43859-6

  • eBook Packages: EngineeringEngineering (R0)

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