DocumentCode :
1963470
Title :
Design simulation model for tracking and speed estimation of moving objects
Author :
El-Kalubi, Amr Awwad ; Zhou, Rui ; Sun, Haibo
Author_Institution :
Deptartment of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2010
fDate :
13-15 Aug. 2010
Firstpage :
271
Lastpage :
276
Abstract :
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking, to measure the speed including the main steps for tracking speeds for moving objects. And design a new proposed algorithm for estimating traffic speed using a sequence of images from an un-calibrated camera using MATLAB SIMULINK.
Keywords :
image motion analysis; image recognition; image sequences; road traffic; traffic engineering computing; computer vision methods; image processing; image sequences; moving objects; pattern recognition; road traffic analysis; speed estimation; tracking estimation; traffic flow monitoring; traffic speed estimation; Cameras; Mathematical model; Monitoring; Pixel; Roads; Tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
Type :
conf
DOI :
10.1109/ICICIP.2010.5565306
Filename :
5565306
Link To Document :
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