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Smart city article details

Title	A Video-Based System For Vehicle Tracking Based On Optical Flow And Shi-Tomasi Corner Detection Algorithm
ID_Doc	5775
Authors	Patel N.; Brahmbhatt K.N.
Year	2023
Published	Lecture Notes in Networks and Systems, 664 LNNS
DOI	http://dx.doi.org/10.1007/978-981-99-1479-1_53
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. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Computer vision; Object tracking; Optical flow; Traffic monitoring; Vehicle tracking

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