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Proceedings Paper

Real-time logo detection and tracking in video
Author(s): M. George; N. Kehtarnavaz; M. Rahman; M. Carlsohn
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Paper Abstract

This paper presents a real-time implementation of a logo detection and tracking algorithm in video. The motivation of this work stems from applications on smart phones that require the detection of logos in real-time. For example, one application involves detecting company logos so that customers can easily get special offers in real-time. This algorithm uses a hybrid approach by initially running the Scale Invariant Feature Transform (SIFT) algorithm on the first frame in order to obtain the logo location and then by using an online calibration of color within the SIFT detected area in order to detect and track the logo in subsequent frames in a time efficient manner. The results obtained indicate that this hybrid approach allows robust logo detection and tracking to be achieved in real-time.

Paper Details

Date Published: 4 May 2010
PDF: 9 pages
Proc. SPIE 7724, Real-Time Image and Video Processing 2010, 77240B (4 May 2010); doi: 10.1117/12.853598
Show Author Affiliations
M. George, The Univ. of Texas at Dallas (United States)
N. Kehtarnavaz, The Univ. of Texas at Dallas (United States)
M. Rahman, The Univ. of Texas at Dallas (United States)
M. Carlsohn, Engineering and Consultancy Dr. Carlsohn for Computer Vision and Image Communication (Germany)


Published in SPIE Proceedings Vol. 7724:
Real-Time Image and Video Processing 2010
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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