An application of the color spatio-temporal decomposition in video series of sign plate recognition

Dan Li; Muhan Xue; Yifei Chen; Yu Wang; Shuo Xu; Feng Lu; Guohui Cui

doi:10.1117/12.3017904

29 January 2024 An application of the color spatio-temporal decomposition in video series of sign plate recognition

Dan Li, Muhan Xue, Yifei Chen, Yu Wang, Shuo Xu, Feng Lu, Guohui Cui

Proceedings Volume 12984, Fourth International Conference on Computer Vision and Information Technology (CVIT 2023); 1298403 (2024) https://doi.org/10.1117/12.3017904
Event: 2023 4th International Conference on Computer Vision and Information Technology (CVIT 2023), 2023, Beijing, China

Abstract

Marker recognition is vital in machine vision and applicable within many fields, such as vehicle automatic guidance, insect pest estimation, and UAV trajectory planning. The influence of illumination and complex backgrounds make such recognition applications very challenging. This paper describes a color Spatio-temporal decomposition algorithm as applied to video images to recognize markers. In the proposed method, the Vectorial Rudin-Osher-Fatemi model weakens the textural component of the image sequences to minimize background complexity for image segmentation. The impact of illumination is reduced by transforming the color space of the obtained image sequences into HSV and equalizing the histogram for the Value channel. Three different types of markers were tested under different light intensities and environments to verify the effectiveness of the algorithm. The proposed method improved the accuracy of edge detection in image segmentation and successfully minimized the interference of illumination. The algorithm also showed favorable good robustness under various vegetation density environments, with a recognition rate of about 95%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dan Li, Muhan Xue, Yifei Chen, Yu Wang, Shuo Xu, Feng Lu, and Guohui Cui "An application of the color spatio-temporal decomposition in video series of sign plate recognition", Proc. SPIE 12984, Fourth International Conference on Computer Vision and Information Technology (CVIT 2023), 1298403 (29 January 2024); https://doi.org/10.1117/12.3017904

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