State-of-the-Art Violence Detection Techniques: A review
Milon Biswas, Afjal Hossain Jibon, Mim Kabir, Khandokar Mohima, Rahman Sinthy, Md. Shamsul Islam, Monowara Siddique
Asian Journal of Research in Computer Science · pp. 29–42 · Published 12 Jan 2022
10.9734/ajrcos/2022/v13i130305Abstract
Surveillance systems are playing a significant role in law enforcement and city safety. It is important to detect violent and suspicious behaviors automatically in video surveillance scenarios, for instance, railway stations, schools, hospitals to avoid any casualties which could cause social, economic, and ecological damage. Automatic detection of violence for quick actions is very significant and can efficiently help law enforcement departments. So, researchers are doing a lot of research on different techniques for detecting violence. This research study reviews various techniques and methods for detecting violent or anomalous activities from surveillance video that have been proposed by many researchers in recent years. The method of detection is divided into three categories. These categories are based on the classification techniques used. These categories are: traditional violence detection using machine learning, Support Vector Machine (SVM) & Deep Learning. Feature extraction & Object detection techniques are also described for each category. Moreover, dataset & video features that help in the recognition process are also discussed. The overall research finding has been discussed which will help the researcher in their future work in this field.
Cited by 20
Nivedita M, Rohan Pawar, Hardik Kathuria · 2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC) · 2023
Farah Oubelkas, Ayoub Louja, Lahcen Moumoun · IEEE Access · 2026
Rohan Pawar, I R Praveen Joe · 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) · 2024
A. Babiyola, S. Aruna, S. Sumithra · Journal of Intelligent & Fuzzy Systems · 2023
Santushti Betgeri, Piyush Lodha, Aneesh Oak · 2025 International Conference on Emerging Smart Computing and Informatics (ESCI) · 2025
Premanand Ghadekar, Kunjal Agrawal, Adwait Bhosale · ITM Web of Conferences · 2023
Shamim Ahmed, Md. Munam Shaharier, Srijan Roy · 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) · 2022
Bhagyashree Pramod Bendale, Swati Swati Dattatraya Shirke · Web Intelligence · 2024
Pablo Negre, Ricardo S. Alonso, Javier Prieto · Lecture Notes in Networks and Systems · 2023
Jing Zhang, Tianlang Yang, Cheng Jiang · Applied Soft Computing · 2025
Showing 17 of 20 known citations — external sources report more than can currently be individually listed.
Related research
- Detecting Dental Caries through Captured Images Using the Machine Learning Technology Teachable Machine — shares topic coverage
- Prediction of Radiotherapy Dose Distribution for Glioblastoma Using Convolutional Neural Network Model — shares topic coverage
- A Systematic Literature Review of Machine Learning Methods in Healthcare — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Artificial Intelligence in the Analysis of the Fetal Genome in Utero: A Critical Review of Current Paradigms, Clinical Utility and Future Horizons — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
20
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.