What is it about?
In the article, a novel method is proposed to detect vehicles based only on the color of the vehicle and does not consider any other features to detect them thereby reducing the time cost without sacrificing the accuracy. The article proposes model that makes use of Raspberry Pi interfaced with USB or Pi camera instead of using powerful workstations, traffic surveillance cameras to track the vehicle and defines the density of the vehicles running on a particular lane.
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Why is it important?
Many systems have been developed to detect, track and count the vehicle on a road, which are of high cost and hence limits the number of systems to be used at different locations. Hence, we come up with the new system which is portable, can change its capture rate at any given time and can access video data in real time through Mobile or Desktop computers in remote place. We introduce Raspberry Pi for detection of vehicles and track them. It also analyses the input video and provide the vehicle count at any given time.
Perspectives
The proposed work is on vehicle detection based on color features, so dynamically the color thresholds can be set at any time for better color feature extraction. The algorithm is not confined to the static cameras only but also to the dynamically moving cameras and shaking cameras
Dr Mallikarjun Anandhalli
Central University of Karnataka
Read the Original
This page is a summary of: A novel approach in real-time vehicle detection and tracking using Raspberry Pi, Alexandria Engineering Journal, July 2017, Elsevier,
DOI: 10.1016/j.aej.2017.06.008.
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