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Particle Filters for Visual Tracking

  • Conference paper
Advanced Research on Computer Science and Information Engineering (CSIE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 152))

Abstract

Particle filter has grown to be a standard tool for solving visual tracking problems in real world applications. This paper discusses in detail the application of particle filter in visual tracking, including single object and multiple objects tracking. Choosing a good proposal distribution for the tracking algorithm in particle filtering framework is the main focus of this paper. We also discussed the contributions related to dealing with occlusion, interaction, illumination change using improved particle filters. A conclusion is drawn in section 4.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Technology, Dalian Neusoft Institute of Information, 116023, Dalian, China

    Fasheng Wang

Authors
  1. Fasheng Wang
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Editor information

Editors and Affiliations

  1. Wuhan University of Science and Technology, Zhongnan Branch, No.18, Jiangxia Road, Wuhan, China

    Gang Shen

  2. International Science & Education Researcher Association, Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Xiong Huang

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, F. (2011). Particle Filters for Visual Tracking. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-21402-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21401-1

  • Online ISBN: 978-3-642-21402-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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