Detecting and Counting Vehicles Using Adaptive Background Subtraction and Morphological Operators in Real Time Systems

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Shahmiri Lida; TAVASSOLI SAJJAD; Hejazi Juybari Seyed Navid

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY Year:2019 | Volume:5 | Issue:4 Page(s): 213-220

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Information Journal Paper

Title

Detecting and Counting Vehicles Using Adaptive Background Subtraction and Morphological Operators in Real Time Systems

Author(s)

Shahmiri Lida | TAVASSOLI SAJJAD | Hejazi Juybari Seyed Navid | Issue Writer Certificate

Keywords

Image processing

Vehicle detection

Machine vision

Background subtraction

Morphological operators

Abstract

Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of Background subtraction and Morphological operators. We present adaptive Background subtraction that is compatible with weather and lighting changes. Among the various challenges involved in the background modeling process, the challenge of overcoming lighting scene changes and dynamic background modeling are the most important issues. The basic architecture of our approach is done in 3 steps: 1-Background subtraction 2-segmentation module 3-detection of objects and counting vehicles. We present an adaptive background at each frame after using binary motion mask to create instantaneous image of background. To remove noises we use Morphological operators and then start to segment images, detect vehicles and count them. Algorithm is eﬃ cient and able to run in real-time. Some experimental results and conclusions are presented.

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APA: Copy

Shahmiri, Lida, TAVASSOLI, SAJJAD, & Hejazi Juybari, Seyed Navid. (2019). Detecting and Counting Vehicles Using Adaptive Background Subtraction and Morphological Operators in Real Time Systems. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 5(4), 213-220. SID. https://sid.ir/paper/703739/en

Vancouver: Copy

Shahmiri Lida, TAVASSOLI SAJJAD, Hejazi Juybari Seyed Navid. Detecting and Counting Vehicles Using Adaptive Background Subtraction and Morphological Operators in Real Time Systems. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2019;5(4):213-220. Available from: https://sid.ir/paper/703739/en

IEEE: Copy

Lida Shahmiri, SAJJAD TAVASSOLI, and Seyed Navid Hejazi Juybari, “Detecting and Counting Vehicles Using Adaptive Background Subtraction and Morphological Operators in Real Time Systems,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 5, no. 4, pp. 213–220, 2019, [Online]. Available: https://sid.ir/paper/703739/en

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