Abstract
Vehicle speed detection and violation detection is in automated way is very useful task for intelligent traffic surveillance system. Vehicle tracking in a precise way is critical task for the process of estimating the speed using only video data. This paper proposes an algorithm to estimate the speed and detecting the violation in precise way. The proposed approach gives the method which contains the optical flow algorithm with corner detection for tracking the vehicle. Proposed algorithm results the better tracking accuracy and better accuracy for speed detection. Also less computation complexity as optical flow is calculated for only corner points.
Highlights
Video based analysis of traffic surveillance is an active area for the research in current scenario
Vehicle speed detection and violation detection is in automated way is very useful task for intelligent traffic surveillance system
This paper proposes an algorithm to estimate the speed and detecting the violation in precise way
Summary
Video based analysis of traffic surveillance is an active area for the research in current scenario. Traffic monitoring process using Computer Vision is a day fast growing approach for automated tasks such as vehicle number plate detection, accident detection, traffic flow monitoring, vehicle speed detection etc. These applications are being applied to Government Traffic Monitoring System as a connected camera system in current scenario. Induction coils are used to detect the speed of vehicle but has drawback as complex installation, can measure only one vehicle at a time [1] [2] .Another approach is speed gun and radar gun They all are hard to implement and gives the variation in result if view angle changes [3] [7]. General process for speed estimation includes Image preprocessing, background subtraction, vehicle tracking, and speed calculation operations on images derived from images
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