Abstract
Face detection with variable lights and color background makes it more difficult to detect the originality of the person in the image. Subject does not look directly into the camera; when the face is not held in the same angle, the system might not recognize the face. In this paper, we are considering various live studies where security surveillance ought to be a first preference of our own lives. Few studies have taken as source input study which helped us for better outcome. Further algorithm designed to get significant result is least expected to perform well on small sample data.
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Chawla, D., Trivedi, M.C. (2018). Difference in Lights and Color Background Differentiates the Color Skin Model in Face Detection for Security Surveillance. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 4. Springer, Singapore. https://doi.org/10.1007/978-981-10-4600-1_12
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DOI: https://doi.org/10.1007/978-981-10-4600-1_12
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