Machine Learning for Real Time Video Surveillance
DOI:
https://doi.org/10.36676/jrps.v14.i5.1576Keywords:
Machine Learning, Video Surveillance, Object Tracking, Deep LearningAbstract
This paper presents a machine learning approach to realtime video surveillance, identifying and tracking objects using deep learning models.
References
MENTAL HEALTH IN THE TECH INDUSTRY: INSIGHTS FROM SURVEYS AND NLP ANALYSIS. (2022). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), 10(2), 23-34. https://jrtcse.com/index.php/home/article/view/JRTCSE.2022.2.3
Hu, W., Pillai, S. E., & ElSaid, A. A. (2022). Mobile Health Text Misinformation Identification Using Mobile Data Mining. International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics (IJMDWTFE), 12(1), 1-14. http://doi.org/10.4018/IJMDWTFE.311433
S. E. V. S. Pillai, A. A. ElSaid and W. -C. Hu, "A Self-Reconfigurable System for Mobile Health Text Misinformation Detection," 2022 IEEE International Conference on Electro Information Technology (eIT), Mankato, MN, USA, 2022, pp. 242-247, doi: 10.1109/eIT53891.2022.9813840.
Pillai, S. E. & Hu, W. (2023). Mobile Text Misinformation Detection Using Effective Information Retrieval Methods. In C. Rabadão, L. Santos, & R. Costa (Eds.), Information Security and Privacy in Smart Devices: Tools, Methods, and Applications (pp. 234-256). IGI Global. https://doi.org/10.4018/978-1-6684-5991-1.ch008
S. E. V. S. Pillai and W. -C. Hu, "Misinformation Detection Using an Ensemble Method with Emphasis on Sentiment and Emotional Analyses," 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), Orlando, FL, USA, 2023, pp. 295-300, doi: 10.1109/SERA57763.2023.10197706.
Pillai, S. E. V. S., & Hu, W.-C. (2022). Using dummy locations to conceal whereabouts of mobile users in location-based services. *International Journal on Engineering, Science and Technology, 4*(4), 406-418. https://doi.org/10.46328/ijonest.126
Kalla, Dinesh and Smith, Nathan and Samaah, Fnu and Polimetla, Kiran, Facial Emotion and Sentiment Detection Using Convolutional Neural Network (January 2021). Indian Journal of Artificial Intelligence Research (INDJAIR), Volume 1, Issue 1, January-December 2021, pp. 1–13, Article ID: INDJAIR_01_01_001, Available at SSRN: https://ssrn.com/abstract=4690960
Kalla, D., Smith, N., Samaah, F., & Polimetla, K. (2022). Enhancing early diagnosis: Machine learning applications in diabetes prediction. *Journal of Artificial Intelligence & Cloud Computing*, *1*(1), 1-7. https://doi.org/10.47363/JAICC/2022(1)191
Mallreddy, Sukender Reddy. (2022). OPTIMIZING CI/CD WORKFLOWS WITH MACHINE LEARNING: PREDICTIVE RESOURCE ALLOCATION FOR ENHANCED DEPLOYMENT EFFICIENCY. IJRDO -Journal of Computer Science Engineering. 8. 31-37. 10.53555/cse.v8i7.6130.
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
