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Video Search and Mining pp 3–32Cite as

Object Trajectory Analysis in Video Indexing and Retrieval Applications

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 287))

Abstract

The focus of this chapter is to present a survey on the most recent advances in representation and analysis of video object trajectories, with application to indexing and retrieval systems. We will review the main methodologies for the description of motion trajectories, as well as the indexing techniques and similarity metrics used in the retrieval process. Strengths and weaknesses of different solutions will be discussed through a comparative analysis, taking into account performance and implementation issues. In order to provide a deeper insight on the exploitation of these technologies in real world products, a selection of exampleswill be introduced and examined. The set of possible applications is very wide and includes (but it is not limited to) generic browsing of video databases, as well as more specific and context-dependent scenarios such as indexing and retrieval in visual surveillance, traffic monitoring, sport events analysis, video-on-demand, and video broadcasting.

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Authors and Affiliations

  1. DISI, University of Trento, Via Sommarive, 14, 38100, Trento, (Italy)

    Mattia Broilo, Nicola Piotto, Giulia Boato, Nicola Conci & Francesco G. B. De Natale

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  1. Mattia Broilo
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  2. Nicola Piotto
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  3. Giulia Boato
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  4. Nicola Conci
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  5. Francesco G. B. De Natale
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Editors and Affiliations

  1. Multimedia Communications Laboratory Department of Electrical & Computer Engineering, University of Illinois at Chicago, Room 1020 SEO (M/C 154), 851 South Morgan Street, 60607-7053, Chicago, IL, USA

    Dan Schonfeld

  2. Philips Research, High-Tech Campus 36, 5656, Eindhoven, AE, The Netherlands

    Caifeng Shan

  3. Department of Computing, Hong Kong Polytechnic University, 7/F, Building P, Hung Hom, PQ704, Kowloon,Hong Kong, China

    Dacheng Tao

  4. Department of Computer Science, University of Bath, BA2 7AY, United Kingdom

    Liang Wang

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Broilo, M., Piotto, N., Boato, G., Conci, N., De Natale, F.G.B. (2010). Object Trajectory Analysis in Video Indexing and Retrieval Applications. In: Schonfeld, D., Shan, C., Tao, D., Wang, L. (eds) Video Search and Mining. Studies in Computational Intelligence, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12900-1_1

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