Moving object detecting and tracking method based on color image

Author

Liu, Hong-Kui ; Zhou, Jun

Author_Institution

Coll. of Mech. & Electr. Eng., Hohai Univ., Changzhou

fYear

2008

fDate

25-27 June 2008

Firstpage

3608

Lastpage

3612

Abstract

According to the different color information of the different component in Hue-Saturation-Intensity color model, combining and ameliorating several basal arithmetics, we present a new method based on both shape and color information of the moving object. Experiments show the effectivity and feasibility of the method. And it also shows good anti-jamming quality in all experiments. Though our method combines HCM, connectedness analysis, mean shift method, and shape analysis, it still runs fast and suits for real time systems.

Keywords

image colour analysis; mobile robots; object detection; robot vision; tracking; color image; connectedness analysis; hue-saturation-intensity color model; mean shift method; moving object detection; moving object tracking; real time system; robot vision; shape analysis; Arithmetic; Educational institutions; Image color analysis; Image converters; Image segmentation; Object detection; Object segmentation; Real time systems; Robot vision systems; Shape; HCM; HIS; Mean Shift; circle detecting; connectedness analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593499

Filename

4593499