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.

[thumbnail of 2010_ICIAS.pdf] PDF
2010_ICIAS.pdf - Published Version
Restricted to Registered users only

Download (463kB)

Abstract

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
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 12 Jun 2011 04:30
Last Modified: 19 Jan 2017 08:24
URI: http://scholars.utp.edu.my/id/eprint/2625

Actions (login required)

View Item
View Item