Fast and Improved Real-Time Vehicle Anti-Tracking System
Safety on roads and the prevention of accidents have become major problems in the world. Intelligent cars are now a standard in the future of transportation. Drivers will benefit from the increased support for driving assistance. This means relying on the development of integrated systems that can p...
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Format: | Article |
Language: | English |
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MDPI AG
2020-08-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/10/17/5928 |
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author | Olivier Oheka Chunling Tu |
author_facet | Olivier Oheka Chunling Tu |
author_sort | Olivier Oheka |
collection | DOAJ |
description | Safety on roads and the prevention of accidents have become major problems in the world. Intelligent cars are now a standard in the future of transportation. Drivers will benefit from the increased support for driving assistance. This means relying on the development of integrated systems that can provide real-time information to help drivers make decisions. Therefore, computer vision systems and algorithms are needed to detect and track vehicles. This helps traffic management and driving assistance. This paper focuses on developing a reliable vehicle tracking system to detect the vehicle that is following the host vehicle. The proposed system uses a unique approach consisting of a mixture of background removal techniques, Haar features in a modified Adaboost algorithm in a cascade configuration, and SURF descriptors for tracking. From the camera mounted at the rear of the host vehicle, videos are captured. The results presented in this paper demonstrate the potential and efficiency of the system. |
first_indexed | 2024-03-10T16:47:19Z |
format | Article |
id | doaj.art-ed3fbd90b4fa433d9cc988d2d9820ae1 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T16:47:19Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-ed3fbd90b4fa433d9cc988d2d9820ae12023-11-20T11:32:06ZengMDPI AGApplied Sciences2076-34172020-08-011017592810.3390/app10175928Fast and Improved Real-Time Vehicle Anti-Tracking SystemOlivier Oheka0Chunling Tu1Department of Computer Systems Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaDepartment of Computer Systems Engineering, Tshwane University of Technology, Pretoria 0001, South AfricaSafety on roads and the prevention of accidents have become major problems in the world. Intelligent cars are now a standard in the future of transportation. Drivers will benefit from the increased support for driving assistance. This means relying on the development of integrated systems that can provide real-time information to help drivers make decisions. Therefore, computer vision systems and algorithms are needed to detect and track vehicles. This helps traffic management and driving assistance. This paper focuses on developing a reliable vehicle tracking system to detect the vehicle that is following the host vehicle. The proposed system uses a unique approach consisting of a mixture of background removal techniques, Haar features in a modified Adaboost algorithm in a cascade configuration, and SURF descriptors for tracking. From the camera mounted at the rear of the host vehicle, videos are captured. The results presented in this paper demonstrate the potential and efficiency of the system.https://www.mdpi.com/2076-3417/10/17/5928vehicle detectionvehicle trackingvehicle recognitioncomputer visiondriving assistance |
spellingShingle | Olivier Oheka Chunling Tu Fast and Improved Real-Time Vehicle Anti-Tracking System Applied Sciences vehicle detection vehicle tracking vehicle recognition computer vision driving assistance |
title | Fast and Improved Real-Time Vehicle Anti-Tracking System |
title_full | Fast and Improved Real-Time Vehicle Anti-Tracking System |
title_fullStr | Fast and Improved Real-Time Vehicle Anti-Tracking System |
title_full_unstemmed | Fast and Improved Real-Time Vehicle Anti-Tracking System |
title_short | Fast and Improved Real-Time Vehicle Anti-Tracking System |
title_sort | fast and improved real time vehicle anti tracking system |
topic | vehicle detection vehicle tracking vehicle recognition computer vision driving assistance |
url | https://www.mdpi.com/2076-3417/10/17/5928 |
work_keys_str_mv | AT olivieroheka fastandimprovedrealtimevehicleantitrackingsystem AT chunlingtu fastandimprovedrealtimevehicleantitrackingsystem |