Scene Change Detection: A Survey on Surveillance Video Techniques

Authors

  • Anas Abdullahi Sokoto State University, Sokoto, Nigeria.
  • Adamu Ismail Bashir Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria.
  • Abdulaziz Abdullahi Bena Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria.
  • Muhammad Abdullahi Bakale Collage of agriculture and animal science, wurno Sokoto, Nigeria.
  • Ma’ruf-Sogeyinbo, Aminah Adeola Federal College of Education, Abeokuta, Nigeria

DOI:

https://doi.org/10.57233/ijsgs.v11i4.995

Keywords:

Scene Change, Moving Vectors (MVs), Frame Rate Up Conversion (FRUC), Histogram Based and Block Based

Abstract

A scene is an important segment of a video which is an assemblage of shots into a meaningful unit. It is breakpoint where video can be segmented into useful sub-segments which can be indexed or tagged for easy access in archives or online. Scene change detection is a technique used to identify the transition of one scene to another. This paper explores the existing related scene detection techniques present their strengths, weakness, highlights general problems related to scene detection and future trend of scene change.

Author Biographies

Anas Abdullahi, Sokoto State University, Sokoto, Nigeria.

Department of Computer Science,

Faculty of Computing, Sokoto State University, Sokoto, Nigeria.

Adamu Ismail Bashir, Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria.

Department of Computer Science, Faculty of Sciences,

Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria.

Abdulaziz Abdullahi Bena, Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria.

Department of Computer Science,

Faculty of Sciences, Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria.

Muhammad Abdullahi Bakale, Collage of agriculture and animal science, wurno Sokoto, Nigeria.

Department Department General Studies,

Collage of agriculture and animal science, wurno Sokoto, Nigeria.

Ma’ruf-Sogeyinbo, Aminah Adeola, Federal College of Education, Abeokuta, Nigeria

Department of Computer Science,

Faculty of Science, Federal College of Education, Abeokuta, Nigeria

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Published

2025-12-05

How to Cite

Abdullahi, A. ., Bashir, A. I. ., Bena, A. A. ., Bakale, M. A. ., & Adeola, M.-S. A. . (2025). Scene Change Detection: A Survey on Surveillance Video Techniques. International Journal of Science for Global Sustainability, 11(4), 124–132. https://doi.org/10.57233/ijsgs.v11i4.995

Issue

Vol. 11 No. 4 (2025): INTERNATIONAL JOURNAL OF SCIENCE FOR GLOBAL SUSTAINABILITY

Section

Articles

License

Copyright (c) 2025 Author(s)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.