A Tracking Algorithm Based on SIFT and Kalman Filter

DOI

10.2991/iccasm.2012.400How to use a DOI?

Keywords

Tracking, SIFT, feature point, Kalman filter

Abstract

This paper presents a method of target tracking based on SIFT and Kalman filter. SIFT algorithm has the ability to detect the invariant feature points which used in tracking and Kalman filter has the ability to predict the target location. Firstly, this paper uses SIFT to compute the location of target. Secondly, this paper uses Kalman filter to optimize the target location in order to correct the error of SIFT algorithm precisely. Lastly, this paper uses 2 groups of videos to test this algorithm. The results show that this is an effective tracking method.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Song
AU  - Baojun Zhao
AU  - Linbo Tang
PY  - 2012/08
DA  - 2012/08
TI  - A Tracking Algorithm Based on SIFT and Kalman Filter
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1563
EP  - 1566
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.400
DO  - 10.2991/iccasm.2012.400
ID  - Song2012/08
ER  -