Year: 2025
Type: article
Study design: Systematic Review
Abstract: This article offers a bibliometric analysis of academic research in intelligent video surveillance, evaluating its evolution between 2000 and 2024. 1,343 documents were collected from the Scopus database and the PRISMA methodology was applied to organize the search and selection of relevant publications. The findings show a notable increase in the number of studies, reaching its highest point in 2022, driven by advances in artificial intelligence, the Internet of Things (IoT) and deep learning. China leads scientific production in this field, followed by India and the United States. Main research areas include real-time surveillance using deep learning methods, sequential and transfer learning techniques, as well as the use of advanced YOLO, Faster-RCNN and RFCN algorithms in controlled environments; however, detecting unusual behavior is a latent challenge.
Authors: Wagner Vicente Ramos, Alex Pacheco Pumaleque, Jhonny Gavino Torres
Institution: Universidad Nacional de Cañete
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411823467