Abstract
Face recognition automation had crucially progressed with the introduction of Eigenfaces algorithms. Still, the automation of the face recognition is having several issues with uncertain environments. In this paper, a novel system is proposed to detect and recognize a particular person or object in a video and output the person’s occurrences and duration in the total video stream. The proposed system uses the max-margin object detection method to detect and recognize the human. The system starts counting the occurrences of a particular person if a match is found in the system. The total duration of that specific person and frequency count will be displayed as an output.
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Prasanth Vaidya, S., Ramanjaneyulu, Y. (2022). Finding Numbers of Occurrences and Duration of a Particular Face in Video Stream. In: Roy, S., Sinwar, D., Perumal, T., Slowik, A., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision . Advances in Intelligent Systems and Computing, vol 1424. Springer, Singapore. https://doi.org/10.1007/978-981-19-0475-2_9
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DOI: https://doi.org/10.1007/978-981-19-0475-2_9
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