Abstract
Prolific sensing devices like mobile phones and video cameras can sense electronic and visual information, respectively, which can help detect and verify a person. Accurate detection and verification of a person’s identity from this sensed data is important for enabling applications such as surveillance and e-health. This is challenging due to sensed data heterogeneity, measurement noise, and the prohibitive cost of specialized equipment. This paper proposes R-Focus, a rotating platform with electronic and visual sensors that can detect and verify a person of interest in an area. R-Focus performs electronic and visual data collection and rotates based on the collected data. R-Focus uses the electronic identity information for a person to gather visual identity information for the person, who is verified and tracked. We implement R-Focus on commercial off-the-shelf hardware and software. Our experimental evaluation shows R-Focus’s promise for detecting and verifying a person of interest.
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Yang, F., Xuan, Y., Ding, S., Champion, A.C., Zheng, Y.F. (2014). R-Focus: A Rotating Platform for Human Detection and Verification Using Electronic and Visual Sensors. In: Cai, Z., Wang, C., Cheng, S., Wang, H., Gao, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2014. Lecture Notes in Computer Science, vol 8491. Springer, Cham. https://doi.org/10.1007/978-3-319-07782-6_52
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DOI: https://doi.org/10.1007/978-3-319-07782-6_52
Publisher Name: Springer, Cham
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