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Face recognition and tracking for security surveillance

Publication Type : Journal Article

Publisher : Journal of Intelligent & Fuzzy Systems

Source : Journal of Intelligent & Fuzzy Systems, (Preprint), 1-9.

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Keywords : Face recognition, person tracking, re-identification, non-overlapping cameras

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2021

Abstract : According to the National Crime Records Bureau, 63,407 children have gone missing in the year 2016, which makes almost 174 children go missing in India every day, out of which only 50% are ever found again. This brings up a need for an efficient solution to trace missing children. The proposed solution uses machine assistance during these search activities with face recognition technologies and can be used for essential development of applications which use CCTV footage across a camera network to identify the person lost. In our solution we use One Shot learning for face recognition to identify stranded people in places such as mass gatherings. The same technology can be used for identification of criminals across the city. The paper also talks about the tracking of people across a network of multiple non-overlapping cameras, with a feature of shifting the target tovehicle, if the target gets into one. The experimentation is performed using mobile cameras and thus, helps in monitoring actions of criminals and finding their hideout.

Cite this Research Publication : Nair, S. P., Abhinav Reddy, K., Alluri, P. K., & Lalitha, S. (2021). Face recognition and tracking for security surveillance. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-9.

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