Anomaly recognition in surveillance based on feature optimizer using deep learning

• Shaista Khanam,

  Roles Methodology

  Affiliation Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Punjab, Pakistan

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• Muhammad Sharif,

  Roles Methodology

  Affiliation Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt, Punjab, Pakistan

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• Mudassar Raza,

  Roles Conceptualization

  Affiliation Department of Computer Science, Namal University, Mianwali, Pakistan

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• Waqar Ishaq,

  Roles Conceptualization

  Affiliation Telecommunication Department, Hazara University, Mansehra, Pakistan

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• Muhammad Fayyaz,

  Roles Investigation

  Affiliation Department of Computer Science, FAST - National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Chiniot, Pakistan

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• Seifedine Kadry

  Roles Project administration, Supervision

  * E-mail: skadry@gmail.com

  Affiliations Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon, Department of Applied Data Science, Noroff University College, Kristiansand, Norway

  https://orcid.org/0000-0002-8596-0814

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