An Algorithm for Vehicle Detection and Tracking

Malik , Aamir Saeed (2010) An Algorithm for Vehicle Detection and Tracking. In: International Conference on Intelligent and Advanced Systems , 15-17 June, 2010, Kuala Lumpur, Malaysia.

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In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. Median filtering is used for background extraction which is later subtracted from the motion frames for object detection. Morphological operators are employed for blob extraction. Hence, object detection is achieved using median filtering and morphological closing operation. Kalman filtering is used for object tracking which uses location of blobs. One of the advantages of this system is that each vehicle in the frame is classified into different color boxes. We present preliminary research results that will finally lead to the identification of the tracked vehicle.

Item Type:Conference or Workshop Item (Paper)
Impact Factor:IEEE Indexed, Scopus Indexed
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Megacities
ID Code:2625
Deposited By: Dr Aamir Saeed Malik
Deposited On:12 Jun 2011 04:30
Last Modified:19 Jan 2017 08:24

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