Face Detection from CCTV Footage using OpenCV and Haar Cascade
Radhika K. M, Shankar M Bakkannavar, Arjun S. -, Samarth Bhaskar Bhat · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: With the rapid growth of surveillance systems, the need for efficient and accurate face detection in closed-circuit television (CCTV) footage has become increasingly crucial. Face detection plays a pivotal role in various applications, including security, law enforcement, forensic investigations, and social monitoring. This research aims to provide a comprehensive review and analysis of the existing techniques and approaches for face detection in CCTV footage. The study begins by examining the challenges and complexities associated with face detection in CCTV footage, such as variations in lighting conditions, camera angles, occlusions, and image quality. A thorough analysis of the existing literature is conducted, encompassing traditional methods such as Viola-Jones. The findings of this study contribute to enhancing the understanding of face detection in CCTV footage and provide valuable insights for researchers, practitioners, and system developers. The analysis of different approaches and their performance under varying conditions will assist in the design and implementation of robust face detection systems for real-world applications, ultimately improving the effectiveness and reliability of surveillance and security systems