Abstract
This paper focuses on the optimization and improvement of the line-of-sight tracking algorithm based on monocular vision, and aims to achieve a series of complex functions through image analysis based on line-of-sight tracking technology and more in-depth analysis of monocular images. Therefore, we use the webgaze framework and use face detection models and feature point recognition libraries to analyze the recognition rate and provide further development of the technology.
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This study was supported by innovation and entrepreneurship training program for college students of Jilin University.
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Tang, H., Zhang, J., Yang, J. (2024). Research on Human Eyesight Tracking Algorithm Based on Monocular Vision. In: Kountchev, R., Patnaik, S., Wang, W., Kountcheva, R. (eds) Multidimensional Signals, Augmented Reality and Information Technologies. WCI3DT 2023. Smart Innovation, Systems and Technologies, vol 374. Springer, Singapore. https://doi.org/10.1007/978-981-99-7011-7_27
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DOI: https://doi.org/10.1007/978-981-99-7011-7_27
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