Abstract
Event detection, in simple terms, means detection of the incidences occurring around us satisfying the threshold condition of some predefined criteria. In present scenario, event detection is gaining importance because of its versatility regarding predefined criteria, threshold conditions and its widespread applications. Many works have been done in this area. In the present paper, our goal is to detect the accidents occurring on the streets, roads and highways. For this, we have done the correlation analysis of optical flow and exhaustive simulation has been performed to show its effectiveness. The results based on optical flow of frames and its correlation show that the event is detected more accurately compared to the results obtained due to correlation only. Also, an exhaustive study has been performed on various accidental scenarios and it has been observed that the proposed method accurately identifies the accidental scenario in every case, be it any kind of traffic (more dense or less).
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Nayan, N., Kumar, S., Sahu, S.S. (2018). Accidental Event Detection Based on Optical Flow Analysis. In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_66
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DOI: https://doi.org/10.1007/978-981-10-7901-6_66
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