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A Video-Based System for Vehicle Tracking Based on Optical Flow and Shi-Tomasi Corner Detection Algorithm

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Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security (CCCS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 664))

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Abstract

In the era of upgrowing technologies with automation, building a smart city is the need of the country. Goal of smart city is to develop smart technologies that can be helpful to the day-to-day routine life. At that time, surveillance plays an important part in development of smart city. In surveillance systems, vehicle surveillance is very needy and important for intelligent transportation system. To develop a system for vehicle monitoring, vehicle speed measurement is very useful parameter that can be useful to detect over speed in speed limit area or detection of possibly accident due to over speed. To reduce the cost of Speed gun or sensors, computer vision technologies are very useful to develop a system for vehicle speed measurement that takes CCTV footage as input. To calculate a speed efficiently, tracking of vehicle from video is crucial part. The paper proposes a system for tracking a vehicle based on optical flow and Shi-Tomasi corner detection. Additionally, the edge-detected frame after thresholding is applied for Shi-Tomasi corner detection that derives a novel approach to track a vehicle precisely.

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Author information

Authors and Affiliations

  1. Gujarat Technological University, Chandkheda, Ahmedabad, India

    Nikesha Patel

  2. Birla Vishwakarma Mahavidyalaya, Vallabh Vidyanagar, Anand, Gujarat, India

    Keyur N. Brahmbhatt

Authors
  1. Nikesha Patel
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  2. Keyur N. Brahmbhatt
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Corresponding author

Correspondence to Nikesha Patel .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Slawomir T. Wierzchon

  3. Department of Computer Science and Engineering, KIET Group of Institutions, Ghaziabad, India

    Pradeep Kumar Singh

  4. Faculty of Mathematics and Informatics, Warsaw University of Technology, Warsaw, Poland

    Maria Ganzha

  5. Department of Security Engineering, University of Warwick, Coventry, UK

    Gregory Epiphaniou

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

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Patel, N., Brahmbhatt, K.N. (2023). A Video-Based System for Vehicle Tracking Based on Optical Flow and Shi-Tomasi Corner Detection Algorithm. In: Tanwar, S., Wierzchon, S.T., Singh, P.K., Ganzha, M., Epiphaniou, G. (eds) Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security. CCCS 2022. Lecture Notes in Networks and Systems, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-99-1479-1_53

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  • DOI: https://doi.org/10.1007/978-981-99-1479-1_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1478-4

  • Online ISBN: 978-981-99-1479-1

  • eBook Packages: EngineeringEngineering (R0)

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