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Proceedings of 3rd International Conference on Computer Vision and Image Processing pp 353–364Cite as

Entry–Exit Video Surveillance: A Benchmark Dataset

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1022))

Abstract

Techniques to automate video surveillance around places where cameras are forbidden due to privacy concerns are yet under-addressed. This can be achieved by building conceptual models and algorithms to investigate the credibility of monitoring of events using the video frames captured by mounting the cameras so as to have the view of the entrances of such camera-forbidden areas. Evaluation of these models and algorithms require standard datasets. The proposal here is to introduce a new benchmark dataset—“EnEx dataset” as no traces specific to the problem were found in the literature. The dataset comprises of video frames captured in 5 different locations accounting 90 entry–exit event pairs based on 9 different sequences involving 36 participants. Ground statistics of the dataset is reported. This work ventures a new sub-domain for research in the area of automated video surveillance.

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Acknowledgements

The first author acknowledges Union Grants Commission, Government of India for providing financial aid to carry out this research work. The research scholars and students of the Department of studies in Computer Science, University of Mysore, Mysuru and the students of NIE Institute of Technology, Mysuru are acknowledged for their active participation in the efforts of collection of dataset and willingness to reveal their identities for publication with the consent of their respective educational institutions for research purposes only.

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Authors and Affiliations

  1. Department of Studies in Computer Science, University of Mysore, Mysuru, India

    V. Vinay Kumar

  2. Indian Institute of Information Technology Allahabad, Allahabad, India

    P. Nagabhushan

  3. Mysuru, India

    S. N. Roopa

Authors
  1. V. Vinay Kumar
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  2. P. Nagabhushan
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  3. S. N. Roopa
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Corresponding author

Correspondence to V. Vinay Kumar .

Editor information

Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. Department of Advanced Information Technology and Computer Sciences, Tokyo Institute of Agriculture and Technology, Koganei, Tokyo, Japan

    Masaki Nakagawa

  3. Department of Computer Science, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Jabalpur, Madhya Pradesh, India

    Pritee Khanna

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

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Vinay Kumar, V., Nagabhushan, P., Roopa, S.N. (2020). Entry–Exit Video Surveillance: A Benchmark Dataset. In: Chaudhuri, B., Nakagawa, M., Khanna, P., Kumar, S. (eds) Proceedings of 3rd International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 1022. Springer, Singapore. https://doi.org/10.1007/978-981-32-9088-4_30

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  • DOI: https://doi.org/10.1007/978-981-32-9088-4_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9087-7

  • Online ISBN: 978-981-32-9088-4

  • eBook Packages: EngineeringEngineering (R0)

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