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Detection of Suspicious Human Activities from Surveillance Camera Using Neural Networks

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Intelligent Data Engineering and Analytics (FICTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 371))

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Abstract

Constant data monitoring by humans to determine if events are anomalous is a near-impossible undertaking that necessitates a crew and their undivided attention. Many organizations have installed CCTV cameras that record video and store it on a centralized server so that individuals and their interactions may be monitored at all times. The requirement for automatic systems to detect and characterize suspicious actions caused by objects is growing as the amount of video data acquired everyday by surveillance cameras grows. It’s important to show which frame and which part of it contains the odd activity so that the unexpected activity can be judged as abnormal or suspicious more quickly. The main task is to follow these moving items through the visual series. This is accomplished by turning video into frames and assessing the people and their activities within those frames.

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Authors and Affiliations

  1. Department of CSE-AIML and IoT, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

    A. Kousar Nikhath, A. Kousar Nikhath, N. Sandhya, Sayeeda Khanum Pathan & B. Venkatesh

Authors
  1. A. Kousar Nikhath
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  2. N. Sandhya
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  3. Sayeeda Khanum Pathan
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  4. B. Venkatesh
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Corresponding author

Correspondence to A. Kousar Nikhath .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Fiona Carroll

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

  4. Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Sandeep Singh Sengar

  5. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Peter Peer

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kousar Nikhath, A., Sandhya, N., Khanum Pathan, S., Venkatesh, B. (2023). Detection of Suspicious Human Activities from Surveillance Camera Using Neural Networks. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_23

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