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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM15376
Volume:
6 |
7 |
Jul 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper targets to predict the speed of a vehicle with respect to the data from a recorded video source. Serving as the hypothesis, the paper portrays the various important procedure such as unequivocal Gaussian blend, models ,DBSCAN ,Kalman channel, Optical stream. The game plan and the delineation of procedures for correspondence of individual are included in the execution part. The type of vehicles, the nature of driving and the vehicle’s position at the time of video capture is taken into consideration.
KEYWORDS
Publication Date
5/6/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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