Real-time object tracking on mobile phones

Author

Lei, Juan ; Feng, Youji ; Fan, Lixin ; Wu, Yihong

Author_Institution

Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China

fYear

2011

fDate

28-28 Nov. 2011

Firstpage

560

Lastpage

564

Abstract

For a mobile landmark recognition and Augmented Reality system, real-time object tracking is crucial for the user experience. In this paper, an effective natural feature (low dimensional Haar-like feature) based method is proposed for real-time object tracking on mobile phones. This method can cope with image variations and alleviate the drift problem. The main idea is using an online two template switching strategy for estimating the geometrical transformation. Experiments on NOKIA N900 phone show the good performance of the proposed method and support our claim that our tracking method is effective and robust.

Keywords

augmented reality; feature extraction; mobile computing; mobile handsets; object recognition; object tracking; user interfaces; Nokia N900 phone; augmented reality system; drift problem; geometrical transformation; image variation; low dimensional Haar-like feature; mobile landmark recognition; mobile phone; realtime object tracking; template switching strategy; user experience; Feature extraction; Mobile communication; Mobile handsets; Pattern recognition; Real time systems; Switches; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ACPR), 2011 First Asian Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0122-1

Type

conf

DOI

10.1109/ACPR.2011.6166663

Filename

6166663