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- W2619007711 abstract "This paper explains research based on improving real time face recognition system using new Radix-(2 × 2) Hierarchical Singular Value Decomposition (HSVD) for 3rd order tensor. The scientific interest, aimed at the processing of image sequences represented as tensors, was significantly increased in the last years. Current home security solutions can be cost-prohibitive, prone to false alarms, and fail to alert the user of a break-in while they are away from the home. Because of advancements in facial detection and recognition techniques made in the past decade, we propose a home security system that takes advantage of this technology. To create such a system at a low cost requires algorithms that are powerful enough to detect users in various environmental conditions and fast enough to process real time video on weaker hardware. Experiments comparing the efficiency of two different decomposition techniques applied for face recognition in real time." @default.
- W2619007711 created "2017-06-05" @default.
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- W2619007711 date "2017-01-01" @default.
- W2619007711 modified "2023-09-24" @default.
- W2619007711 title "Face Recognition in Home Security System Using Tensor Decomposition Based on Radix-(2 × 2) Hierarchical SVD" @default.
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- W2619007711 doi "https://doi.org/10.1007/978-3-319-59259-6_5" @default.
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