Applying Face Recognition in Video Surveillance Security Systems

Autor:	Agyn Bedelbayev, Farida Gusmanova, Akmarzhan Maikhanova, Daniyar Sultan, Batyrkhan Omarov, Nurzhamal Oshanova, Nurzhan Omarov, Zhanna Yessengaliyeva, Bauyrzhan Omarov, Shirinkyz Shekerbekova, Alua Sarbasova
Rok vydání:	2019
Předmět:	Service (systems architecture) Process (engineering) Computer science Smart city Reliability (computer networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer security computer.software_genre Face detection Facial recognition system computer
Zdroj:	Software Technology: Methods and Tools ISBN: 9783030298517 TOOLS
DOI:	10.1007/978-3-030-29852-4_22
Popis:	Face Detection and Recognition is an important surveillance problem to provide citizens’ security. Nowadays, many citizen service areas as airports, railways, security services are starting to use face detection and recognition services because of their practicality and reliability. In our research, we explored face recognition algorithms and described facial recognition process applying Fisherface face recognition algorithm. This process is theoretically justified and tested with real-world outdoor video. The experimental results demonstrate practically applying of face detection from several foreshortenings and recognition results. The given system can be used in building a smart city as a smart city application, also in different organization to ensure security of people.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ecdb213a9aca249e8d6ee12387bfa25f https://doi.org/10.1007/978-3-030-29852-4_22 Zobrazit plný text záznamu