Citation:

Eva Maria, Sidhin Thomas, Dr.Arun Kumar, 2021. "Traffic Density Estimation Based On Video Processing" ESP Journal of Engineering & Technology Advancements  1(1): 22-24.

Abstract:

In this paper, the fundamental work is to control traffic density in significant urban communities which has been a mainstream research subject among researchers and modern experts. The current framework depends on a fixed time idea where the LOI is utilized which had a couple of hindrances in it. The proposed framework enjoys numerous benefits where the camera catches the video and the Haar course calculation is utilized which tallies the quantity of vehicles and perceives the vehicles out and about in the intersection. The video preparing changes the video over to a picture where the calculation checks the quantity of vehicles and remember it. With this, the density is determined and the traffic signal is changed naturally dependent on the density computation.

References:

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Keywords:

Traffic Density, Video.