2023
doi: 10.12720/jait.14.2.160-167
Face Detection in Close-up Shot Video Events Using Video Mining
Amjad Rehman Khan1
,
Majid Harouni2,* ,
Sepideh Sharifi2 ,
Saeed Ali Bahaj3 ,
Tanzila Saba1
- 1Artificial Intelligence & Data Analytics Lab CCIS, Prince Sultan University Riyadh 11586, Saudi Arabia
- 2Department of Computer Engineering, Dolatabad Branch, Islamic Azad University, Isfahan, Iran
- 3MIS Department, College of Business Administration, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia
- Manuscript receivedAugust 10, 2022
- revisedSeptember 12, 2022
- acceptedSeptember 28, 2022
- publishedMarch 8, 2023
Abstract
Face detection and recognition in abrupt dynamic images is still challenging due to high complexity of images. To tackle this issue, we employed Gray-Level Co-occurrence Matrix (GLCM) to convert large video into smaller consequential sections containing sequence information from a series of images. GLCM is a matrix associated with the relationship between the values of adjacent pixels in an image. The proposed method is composed of two stages. First, the video is taken as input using the histogram difference method. Features are extracted using co-occurrence matrix of images, statistical methods, and the border of sudden shots extracted from the video. Second, face recognition with the Viola-Jones algorithm is performed on the sudden shots extracted in the first step. Thus, the face is extracted by video data mining in output in close shots. In this method, we compared the parameter model in three windows (3, 5 and 7) and threshold limit for detecting abrupt cuts between values (0.1, 0.5, 1.5, 1.5 and 2) for each window. The highest percentage of face detection is attained by considering the maximum percentage of abrupt cuts in the 5×5 window with a threshold value of 1.
Keywords
- close shot
- statistical methods
- co-occurrence matrix of images
- face detection
- security
- technological development
How to Cite
Amjad Rehman Khan, Majid Harouni, Sepideh Sharifi, Saeed Ali Bahaj, and Tanzila Saba, "Face Detection in Close-up Shot Video Events Using Video Mining," Journal of Advances in Information Technology, vol. 14, no. 2, pp. 160-167, 2023. https://doi.org/10.12720/jait.14.2.160-167
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
