Automatic vehicles detection : classification and counting techniques-survey
Other Title(s)
تقنيات الكشف عن المركبات و تصنيفها و عدها-المسح
Joint Authors
Ali, Yusra Husayn
Najm, Mustafa
Source
Issue
Vol. 61, Issue 7 (31 Jul. 2020), pp.1811-1822, 12 p.
Publisher
University of Baghdad College of Science
Publication Date
2020-07-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Vehicle detection (VD) plays a very essential role in Intelligent Transportation Systems (ITS) that have been intensively studied within the past years.
The need for intelligent facilities expanded because the total number of vehicles is increasing rapidly in urban zones.
Traffic monitoring is an important element in the intelligent transportation system, which involves the detection, classification, tracking, and counting of vehicles.
One of the key advantages of traffic video detection is that it provides traffic supervisors with the means to decrease congestion and improve highway planning.
Vehicle detection in videos combines image processing in real-time with computerized pattern recognition in flexible stages.
The real-time processing is very critical to keep the appropriate functionality of automated or continuously working systems.
VD in road traffics has numerous applications in the transportation engineering field.
In this review, different automated VD systems have been surveyed, with a focus on systems where the rectilinear stationary camera is positioned above intersections in the road rather than being mounted on the vehicle.
Generally, three steps are utilized to acquire traffic condition information, including background subtraction (BS), vehicle detection and vehicle counting.
First, we illustrate the concept of vehicle detection and discuss background subtraction for acquiring only moving objects.
Then a variety of algorithms and techniques developed to detect vehicles are discussed beside illustrating their advantages and limitations.
Finally, some limitations shared between the systems are demonstrated, such as the definition of ROI, focusing on only one aspect of detection, and the variation of accuracy with quality of videos.
At the point when one can detect and classify vehicles, then it is probable to more improve the flow of the traffic and even give enormous information that can be valuable for many applications in the future.
American Psychological Association (APA)
Najm, Mustafa& Ali, Yusra Husayn. 2020. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science،Vol. 61, no. 7, pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
Modern Language Association (MLA)
Najm, Mustafa& Ali, Yusra Husayn. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science Vol. 61, no. 7 (2020), pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
American Medical Association (AMA)
Najm, Mustafa& Ali, Yusra Husayn. Automatic vehicles detection : classification and counting techniques-survey. Iraqi Journal of Science. 2020. Vol. 61, no. 7, pp.1811-1822.
https://search.emarefa.net/detail/BIM-970133
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-970133