Fast object tracking in digital video

Author

Dong Kwon Park ; Ho Seok Yoon ; Chee Sun Won

Author_Institution

Dept. of Electron. Eng., Dongguk Univ., Seoul, South Korea

fYear

2000

fDate

13-15 June 2000

Firstpage

356

Lastpage

357

Abstract

This paper presents a fast semi-automatic semantic object tracking algorithm for digital video. The proposed method consists of two steps, namely, intra-frame object extraction and the inter-frame object tracking. For the intra-frame segmentation, we try to minimize the human intervention by exploiting the automatic homogenous region segmentation. Then, to achieve a fast inter-frame object tracking, we propose to use 1-D projected motion estimation and an improved flooding method for the watershed algorithm.

Keywords

feature extraction; image segmentation; motion estimation; tracking; video signal processing; 1D projected motion estimation; automatic homogenous region segmentation; boundary refinement; digital video; fast inter-frame object tracking; flooding method; inter-frame object tracking; intra-frame object extraction; intra-frame segmentation; semi-automatic semantic object tracking algorithm; watershed algorithm; Application software; Histograms; Humans; Image segmentation; MPEG 4 Standard; Motion estimation; Object segmentation; Sun; Tracking; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers. International Conference on

Conference_Location

Los Angles, CA, USA

Print_ISBN

0-7803-6301-9

Type

conf

DOI

10.1109/ICCE.2000.854682

Filename

854682