A comparison of visual target tracking methods in noisy environments

Author

Sezgin, M. ; Birecik, S. ; Demir, D. ; Bucak, Ï Ö ; Çetin, S. ; Kurugöllü, F.

Author_Institution

Dept. of Optoelectron., Tubitak Marmara Res. Center, Gebze, Turkey

Volume

2

fYear

1995

fDate

6-10 Nov 1995

Firstpage

1360

Abstract

Motion detection and tracking are useful in computer vision. This work represents a comparison of several methods for target tracking in noisy environments using motion-energy and template location based approaches. In order to remove the registration noise, a morphological filter has been adopted. Since the scale and rotation of the target change, a template update method has been used. The performance of different methods to compare their respective speed and accuracy have been evaluated and the results obtained are presented

Keywords

computer vision; filters; position measurement; target tracking; tracking; computer vision; morphological filter; motion detection; motion-energy; noisy environments; registration noise removal; visual target tracking methods; Additive noise; Computer vision; Filters; Image edge detection; Motion detection; Noise robustness; Noise shaping; Pixel; Target tracking; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-3026-9

Type

conf

DOI

10.1109/IECON.1995.483994

Filename

483994