Presentation + Paper
12 April 2021 Analyzing the impact of vibration on YOLO algorithm performance
Author Affiliations +
Abstract
In this paper we will analyze the effect of vibration on the performance of the YOLO (You Only Look Once) algorithm on object classification. The YOLO algorithm will initially be trained using static imagery of common objects. Image processing techniques will then be used to create video clips with varying levels of blur due to vibration. These videos will then be used to evaluate the performance of the algorithm on object classification. Results of the classification will be presented. An initial summary of the classification results will be discussed in relation to the amount of vibration added to the imagery.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan G. Hixson, Brian P. Teaney, Bryan Vogel, Mark Jeiran, and George Nehmetallah "Analyzing the impact of vibration on YOLO algorithm performance", Proc. SPIE 11740, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXII, 117400H (12 April 2021); https://doi.org/10.1117/12.2586953
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KEYWORDS
Video

Image processing

Optical sensors

Video processing

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