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Vedangi Raut, Rutvik Redkar
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- Research Scholar, Research Scholar, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, Maharashtra, Maharashtra, India, India
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Abstract
nThe significance of real-time capabilities in human detection and tracking is discussed in the abstract of the paper. We talk about tracking, eye detection, and face detection. A thorough motion detection program for use in video monitoring and other applications is suggested by the study. The goal of the study is to further human tracking technology. Optical flow features and appearance-invariant features from a Darknet CNN model are integrated. Acquiring Knowledge of Complicated Sequences: In order to identify complicated activity sequences for ultimate violence detection, a Long Short-Term Memory (LSTM) network is utilized, which enables the system to identify long-term patterns. Thorough Evaluation: The approach outperforms current methods and provides a baseline for violence detection systems when tested in a variety of inside and outdoor surveillance scenarios. The study provides an overview of classical and deep learning-based forms of violence.
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Keywords: Convolution neural network (CNN), long short-term memory, violence, models, datasets
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Advanced Robotics and Automation Technology(ijarat)]
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References
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- Naveen P, Sivakumar P (2021) Adaptive morphological and bilateral filtering with ensemble convolutional neural network for pose-invariant face recognition. J Ambient Intell Human Comput 12:10023–10033.
- Sarthak Sharma, B Sudharsan, Saamaja Naraharisetti, Vimarsh Trehan, Kayalvizhi Jayavel, Vol. 11, ISSN: 2088-8708, DOI: 10.11591/ijece.v11i4.pp3374-3380
- Anuja Jana Naik1,2 & M. T. Gopalakrishna1,2, Multimedia Tools and Ap- plications (2021) 80:18365–18380, https://doi.org/10.1007/s11042-021- 10682-w, Published online: 17 February 2021
- Parveen, S., & Shah, J. (2021). A Motion Detection System in Python and OpenCV. 2021 Third International Conference on Intelligent Com- munication Technologies and Virtual Mobile Networks (ICICV).
- Javad Mahmoodi1 & Hossein Nezamabadi-pour 1 & Dariush Abbasi- Moghadam1, Multimedia Tools and Applications; Dordrecht Vol. 81, Iss. 15, (Jun 2022): 20945-20961. DOI:10.1007/s11042-022-12532-9
- Dong-yuan Ge1 • Xi-fan Yao2 • Wen-jiang Xiang3 • Yue- ping Chen1, S.I.: Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021), Published: 01 February 2022
- Ullah FU, Obaidat MS, Muhammad K, Ullah A, Baik SW, Cuzzolin F, Rodrigues JJ, de Albuquerque VH. An intelligent system for complex violence pattern analysis and detection. International Journal of Intelligent Systems. 2022 Dec;37(12):10400-22.
- Ullah FU, Ullah A, Muhammad K, Haq IU, Baik SW. Violence detection using spatiotemporal features with 3D convolutional neural network. Sensors. 2019 May 30;19(11):2472.
- Jain A, Vishwakarma DK. State-of-the-arts violence detection using ConvNets. In2020 international conference on communication and signal processing (ICCSP) 2020 Jul 28 (pp. 0813-0817). IEEE.
- Vilamala MR, Hiley L, Hicks Y, Preece A, Cerutti F. A pilot study on detecting violence in videos fusing proxy models. In2019 22th international conference on information fusion (FUSION) 2019 Jul 2 (pp. 1-8). IEEE.
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International Journal of Advanced Robotics and Automation Technology
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| Volume | 02 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | March 11, 2024 | |
| Accepted | March 26, 2024 | |
| Published | April 25, 2024 |
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