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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications pp 1–9Cite as

Human Action Recognition Using Trajectory-Based Spatiotemporal Descriptors

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 515))

Abstract

Human action recognition has gained popularity because of its wide applicability in automatic retrieval of videos of particular action using visual features. An approach is introduced for human action recognition using trajectory-based spatiotemporal descriptors. Trajectories of minimum Eigen feature points help to capture the important motion information of videos. Optical flow is used to track the feature points smoothly and to obtain robust trajectories. Descriptors are extracted around the trajectories to characterize appearance by Histogram of Oriented Gradient (HOG), motion by Motion Boundary Histogram (MBH). MBH computed from differential optical flow outperforms for videos with more camera motion. The encoding of feature vectors is performed by bag of visual features technique. SVM with nonlinear kernel is used for recognition of actions using classification. The performance of proposed approach is measured on various datasets of human action videos.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Dharmsinh Desai University, Nadiad, India

    Chandni Dhamsania & Tushar Ratanpara

Authors
  1. Chandni Dhamsania
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  2. Tushar Ratanpara
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Corresponding author

Correspondence to Chandni Dhamsania .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg Dept. of ECE, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Dhamsania, C., Ratanpara, T. (2017). Human Action Recognition Using Trajectory-Based Spatiotemporal Descriptors. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_1

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  • DOI: https://doi.org/10.1007/978-981-10-3153-3_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3152-6

  • Online ISBN: 978-981-10-3153-3

  • eBook Packages: EngineeringEngineering (R0)

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