Study and implementation of color-based object tracking in monocular image sequences

Author

Mehmood, Muhammad Owais

Author_Institution

Dept. of Electron. Eng., NED Univ. of Eng. & Technol., Karachi, Pakistan

fYear

2009

fDate

16-18 Nov. 2009

Firstpage

109

Lastpage

111

Abstract

Kernel tracking of density-based appearance models is implemented in this paper for real-time object tracking applications. First a ROI, i.e., the region of interest is selected in real-time to create a model. Then the matching and locating of the search object is achieved by using mean-shift algorithm. Experimental results show that this method can find perform object tracking with adaptation to scale and translation, robustness to noise and handling of occlusion.

Keywords

computer vision; image colour analysis; image matching; image motion analysis; image sequences; object detection; Image motion analysis; color-based object tracking; density-based appearance models; image matching; kernel tracking; machine vision; mean-shift algorithm; monocular image sequences; real-time object tracking; search object matching; Colored noise; Feeds; Gravity; Histograms; Image sequences; Kernel; Noise robustness; Probability; Research and development; Tracking; Image Processing; Image matching; Image motion analysis; Machine vision; Pattern Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Development (SCOReD), 2009 IEEE Student Conference on

Conference_Location

UPM Serdang

Print_ISBN

978-1-4244-5186-9

Electronic_ISBN

978-1-4244-5187-6

Type

conf

DOI

10.1109/SCORED.2009.5443273

Filename

5443273