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Social Distancing Using Video Tracking System—an Effort Toward COVID-19

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Topical Drifts in Intelligent Computing (ICCTA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 426))

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Abstract

In the wake of the pandemic that we are all facing these days, we all are advised to maintain some specified social distance from other people in order to keep ourselves safe. The CoVID-19 pandemic started showing its symptoms at the end of 2019 and is still killing thousands of people every day. Although the scientists have been successful in preparing the medicines for it, it is better to take some precautionary measures ourselves only. We are battling from it today as well. So, our tool is just a medium to make this battle a little easier. This will help us to monitor the distance between two objects, here, people, and whether they are at a safe distance from each other or not. This can also be helpful for the officials if they have to keep an eye on everyone and if they are following the proper guidelines to prevent COVID-19 from spreading. This will help us to detect the objects, in this case, people, and track their movements. Anyone can track whether people are maintaining a proper distance from each other or not. We are using three algorithms, object detection, object tracking, and distance measure algorithm, mainly to detect the objects, then track them, and then to analyze the distance between them.

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Patni, J.C., Agarwal, S., Gupta, R., Sharma, H.K. (2022). Social Distancing Using Video Tracking System—an Effort Toward COVID-19 . In: Mandal, J.K., Hsiung, PA., Sankar Dhar, R. (eds) Topical Drifts in Intelligent Computing. ICCTA 2021. Lecture Notes in Networks and Systems, vol 426. Springer, Singapore. https://doi.org/10.1007/978-981-19-0745-6_5

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  • DOI: https://doi.org/10.1007/978-981-19-0745-6_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0744-9

  • Online ISBN: 978-981-19-0745-6

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