Video object tracking using region split and merge and a Kalman filter tracking algorithm

Author

Vigus, SA ; Bul, D.R. ; Canagarajah, C.N.

Author_Institution

Dept. of Electr. & Electron. Eng., Bristol Univ., UK

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

650

Abstract

This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time

Keywords

Kalman filters; feedback; image segmentation; search problems; tracking filters; video signal processing; Kalman filter; feedback; image pixels; image segmentation; luminance; motion tracking; real-time method; region split and merge; spiral search algorithm; tracking algorithm; vector Kalman predictor; video object tracking; Data mining; Feedback; Image segmentation; Kalman filters; Pixel; Radar tracking; Real time systems; Reliability engineering; Spirals; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959129

Filename

959129