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pro vyhledávání: '"Manoj Phirke"'
Autor:
Manoj Phirke, Susmitha Mohan
Publikováno v:
Signal & Image Processing : An International Journal. 11:1-20
Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving. Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving features arethe major reasons for road accide
Publikováno v:
SSRN Electronic Journal.
Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving. Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving features arethe major reasons for road accide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2b7829e5f945403112ff42474b117c
Autor:
Manoj Phirke, Susmitha Mohan
Publikováno v:
Computer Science & Information Technology (CS & IT).
Eye gaze estimation aims to find the point of gaze which is basically,” where we look”. Estimating the gaze point plays an important role in many applications with varying usage. Gaze estimation is used in automotive industry to ensure safety. In
Autor:
Aditya Hosamani, Manoj Phirke
Publikováno v:
Proceedings of the 5th International Conference on Multimedia and Image Processing.
This paper presents a novel head pose estimation technique based on face-geometry. The approach involves performing nose detection and threshold-based segmentation over near-infrared (NIR) input. NIR's inherent invariance to illumination changes make
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030535513
LION
LION
Though machine learning algorithms have achieved great performance when adequate amounts of labeled data is available, there has been growing interest in reducing the volume of data required. While humans tend to be highly effective in this context,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf85aaeb53a0d5084985459cea91e86f
https://doi.org/10.1007/978-3-030-53552-0_24
https://doi.org/10.1007/978-3-030-53552-0_24