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Human Action Recognition in Video

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

Abstract

In the world of automation every event needs some kind of auto response. Automatic responses can only be made when events are perceived automatically. With camera as a source of visual sensing, some intelligent system fitted with camera can make automatic visual perception possible for any event. Recognizing human activities for some automated response can be one challenge under this problem domain. In this paper, motion feature of a moving object is used for recognizing human action/activity. Histogram of Oriented Gradient (HOG) features with Support Vector Machine (SVM) classifier is used for classifying the human actions into 5 basic categories i.e. bending, boxing, handclapping, jogging and jumping. Pre-Processing involves Lucas-Kanade Algorithm to extract the human silhouette and Skeletonization operation to generate human skeletons. Skeletons are secondary features which are made input to SVM for activity classification. Experiments are conducted on KTH database and Weizmann database for accuracy calculation.

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Authors and Affiliations

  1. Department of CSE, MNNIT, Allahabad, India

    Dushyant Kumar Singh

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  1. Dushyant Kumar Singh
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Correspondence to Dushyant Kumar Singh .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Singh, D.K. (2019). Human Action Recognition in Video. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_6

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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