The week's pick
Random Articles
Reseach Article
Camera based Smart Surveillance System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 17 |
| Year of Publication: 2020 |
| Authors: Ishan Kokadwar, Anurag Kukarni, Vaibhav Limbhore, Sayali Khare, Swati Chandurkar |
10.5120/ijca2020920679
|
Ishan Kokadwar, Anurag Kukarni, Vaibhav Limbhore, Sayali Khare, Swati Chandurkar . Camera based Smart Surveillance System. International Journal of Computer Applications. 175, 17 ( Sep 2020), 20-23. DOI=10.5120/ijca2020920679
Abstract
One of the key sectors which is now concern worldwide is security and privacy. Due to the emergence of protecting premises, providing security is one of the most important tasks. Thus, to provide security, the video surveillance system was introduced. But video surveillance system has few drawbacks such as human intervention to observe footage, storage, and expertise to analyze multiple camera system. To overcome it, in their project authors have made a system that automatically tracks each individual under surveillance, maintains logs instead of video recordings, analyzes frames and generates helpful insights. Convolution Neural Network (CNN) based deep learning model is used to build the system.
References
- R. Chauhan, K. K. Ghanshala and R. C. Joshi, "Convolutional Neural Network (CNN) for Image Detection and Recognition," 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), Jalandhar, India, 2018, pp. 278-282, doi: 10.1109/ICSCCC.2018.8703316.)Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
- N. Jmour, S. Zayen and A. Abdelkrim, "Convolutional neural networks for image classification," 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), Hammamet, 2018, pp. 397-402, doi: 10.1109/ASET.2018.8379889. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
- V. C. Banu, I. M. Costea, F. C. Nemtanu and I. Bădescu, "Intelligent video surveillance system," 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME), Constanta, 2017, pp. 208-212, doi: 10.1109/SIITME.2017.8259891. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
- J. G. Dastidar and R. Biswas, "Tracking Human Intrusion through a CCTV," 2015 International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, 2015, pp. 461-465, doi: 10.1109/CICN.2015.95.
- W. Yimyam, T. Pinthong, N. Chumuang and M. Ketcham, "Face Detection Criminals through CCTV Cameras," 2018 14th International Conference on Signal-Image Technology & InternetBased Systems (SITIS), Las Palmas de Gran Canaria, Spain, 2018, pp. 351-357,doi:10.1109/SITIS.2018.00061.
Index Terms
Keywords