Adaptive visual tracking algorithm and real-time implementation

Author

Eklund, Mark W. ; Ravichandran, G. ; Trivedi, Mohan M. ; Marapane, Suresh B.

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA

Volume

3

fYear

1995

fDate

21-27 May 1995

Firstpage

2657

Abstract

A real-time correspondence based tracking algorithm is detailed. The system uses a pipeline processor, a general purpose processor, a camera and a display. The minimum noise and correlation energy (MINACE) filter is used in the tracking algorithm as it provides a good combination of speed, accuracy and flexibility for the targeted hardware system. The system designed is fast and tracking is accomplished at a rate of 15 Hz. The system is adaptive and does not rely on a previous model of the object; the training image for filter synthesis is acquired from previous image frames and the filter is synthesized online to accommodate 3D variations of the target being tracked. The system tracks an object consistently as is demonstrated by the low deviation of the results in the evaluation

Keywords

adaptive systems; computer vision; filtering theory; image sequences; motion estimation; optical correlation; optical tracking; pipeline processing; real-time systems; adaptive system; adaptive visual tracking; computer vision; image sequences; minimum noise correlation energy filter; pipeline processor; real-time systems; Cameras; Computer vision; Filters; Image motion analysis; Laboratories; Pipelines; Power engineering and energy; Robot vision systems; Target tracking; Visual servoing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on

Conference_Location

Nagoya

ISSN

1050-4729

Print_ISBN

0-7803-1965-6

Type

conf

DOI

10.1109/ROBOT.1995.525658

Filename

525658