Storage Optimization using Adaptive Thresholding Motion Detection

  • M. Atif Department of Computer Science, Sukkur IBA University, Pakistan
  • Z. H. Khand Department of Computer Science, Sukkur IBA University, Pakistan
  • S. Khan Department of Computer Science, Sukkur IBA University, Pakistan
  • F. Akhtar Department of Computer Science, Sukkur IBA University, Pakistan
  • A. Rajput Department of Computer Science, Sukkur IBA University, Pakistan

Abstract

Data storage is always an issue, especially for video data from CCTV cameras that require huge amounts of storage. Moreover, monitoring past events is a laborious task. This paper proposes a motion detection method that requires fewer calculations and reduces the required data storage up to 70%, as it stores only the informative frames, enabling the security personnel to retrieve the required information more quickly. The proposed method utilized a histogram-based adaptive threshold for motion detection, and therefore it can work in variable luminance conditions. The proposed method can be applied to streamed frames of any CCTV camera to efficiently store and retrieve informative frames.

Keywords: storage optimization, adaptive threshold, motion detection, video mining

Author Biography

F. Akhtar, Department of Computer Science, Sukkur IBA University, Pakistan

DR. FAHEEM AKHTAR RAJPUT received his PhD degree from Beijing University of Technology, China in 2020 and MS in Computer Science from National University of Computing and Emerging Science NUCES FAST Karachi, Pakistan in 2011. He is currently working as an Assistant Professor in the Department of Computer Science Sukkur IBA University, Pakistan. He is the author of various SCI, EI, and Scopus indexed journals
and international conferences. Furthermore, he is part of a various indexed international conference at different positions and reviewer of various SCI, EI, and Scopus indexed journal. His research interests include Data Mining; Machine Learning; Deep Learning, Information Retrieval; Privacy Protection; Internet Security; Internet of things and big data.

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