Fast Texture-Based Object Tracking Algorithm on Embedded Platform

Author

Sheu, Ming-hwa ; Tsai, Wen-kai ; Hu, Chuang-Chun ; Tsao, Chun-Heng

Author_Institution

Grad. Sch. of Eng. Sci. & Technol., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan

fYear

2010

fDate

18-22 Aug. 2010

Firstpage

511

Lastpage

514

Abstract

Image surveillance systems are paid much attention by using embedded system gradually, but the most of they only focus on uncomplicated object tracking. If the system is not robust, it is easy to miss tracking after object interactions. This paper aims at this problem to propose the fast object tracking method based on texture and histogram techniques. An embedded surveillance system has been implemented on TITMS320DM6446 Davinci development kit. The inputs image sequence is from a CCD Camera, and the proposed algorithm is executed on the Davinci platform. The object tracking results are displayed on a 720x480 (NTSC D1) monitor with frame rate14 fps. From the experimental results, the developed embedded system can achieve better results in terms of functional practicality, tracking effect, efficiency, and computing power.

Keywords

CCD image sensors; embedded systems; image sequences; image texture; object detection; surveillance; CCD Camera; TI TMS320DM6446 Davinci development kit; histogram techniques; image sequence; surveillance embedded system; texture based object tracking; Algorithm design and analysis; Artificial intelligence; Embedded system; Histograms; Object detection; Pixel; Surveillance; object tracking; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on

Conference_Location

Changchun, Jilin Province

Print_ISBN

978-1-4244-7779-1

Type

conf

DOI

10.1109/FCST.2010.27

Filename

5575545