Paper
2 February 2011 Real-time implementation of logo detection on open source BeagleBoard
M. George, N. Kehtarnavaz, L. Estevez
Author Affiliations +
Proceedings Volume 7871, Real-Time Image and Video Processing 2011; 787107 (2011) https://doi.org/10.1117/12.871952
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
This paper presents the real-time implementation of our previously developed logo detection and tracking algorithm on the open source BeagleBoard mobile platform. This platform has an OMAP processor that incorporates an ARM Cortex processor. The algorithm combines Scale Invariant Feature Transform (SIFT) with k-means clustering, online color calibration and moment invariants to robustly detect and track logos in video. Various optimization steps that are carried out to allow the real-time execution of the algorithm on BeagleBoard are discussed. The results obtained are compared to the PC real-time implementation results.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. George, N. Kehtarnavaz, and L. Estevez "Real-time implementation of logo detection on open source BeagleBoard", Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 787107 (2 February 2011); https://doi.org/10.1117/12.871952
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KEYWORDS
Detection and tracking algorithms

Calibration

Computer programming

Neon

Optimization (mathematics)

Algorithm development

Operating systems

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