Fig. 1. Overview of foreground motion detection and extracting algorithm
Fig. 2. Structure of artificial neural network
Fig. 3. Overview of Background Learning Intrusion Detection System
Fig. 4. image processing and subtract image based intrusion detection
Fig. 5. Background neural network testing algorithm
Fig. 6. Background neural network learning algorithm
Fig. 7. Background artificial neural network concept
References
- Kyu-Woong Lee, "Implementation of Video Surveillance System with Motion Detection based on Network Camera Facilities", The Journal of IIBC, Vol. 14, No. 1, pp.169-177, Feb. 2014.
- Jin Keun Seo, Sukho Lee, "Automatic Motion Detection Using False Background Elimination", The journal of the Korean Society for Industrial and Applied Mathematics, Vol. 17, No. 1, pp.47-54, Jan. 2013. https://doi.org/10.12941/jksiam.2013.17.047
- Hyung-Hoon Kim, Jeong-Ran Cho, "Effective Automatic Foreground Motion Detection Using the Statistic Information of Background", Journal of The Korea Society of Computer and Information, Vol. 20, No. 9, pp121-128, 2015. https://doi.org/10.9708/jksci.2015.20.9.121
- S. Ferrari and R. F. Stengel, "Smooth function approximation using neural networks", IEEE Trans Neural Network, Vol. 16, pp. 24-38, Jan. 2005. https://doi.org/10.1109/TNN.2004.836233
- OpenCV Open Source Computer Vision, http://opencv.org
- AmmarAnuar, KhairulMuzzammilSaipullah, NurulAtiqah Ismail, and Soo Yew Guan, "OpenCV Based Real-Time Video Processing Using Android Smartphone", International Journal of Computer Technology and Electronics Engineering, Vol. 1, No. 3, pp.58-63, 2011.
- C. Stauffer and W.E.L. Grimson, "Learning Patterns of Activity Using Real Time Tracking", IEEE Trans. on Pattern Analysis and Machine Intelligence, No. 22, pp747-767, 2000.
- Jing Guo, Siong Chng Eng, Rajan Deepu, "Foreground Motion Detection by Difference-Based Spatial Temporal Entropy Image", TENCON 2004. IEEE Region 10 Conference IEEE 2004, pp379-382, 2004.
- S.H. Lee and J.K. Seo, "Level Set-Based Bimodal Segmentation with Stationary Global Minimum", IEEE Trans. on Image Processing, No. 9, pp2843-2852, 2006. https://doi.org/10.1109/TIP.2006.877308
- X. Gao, T.E. Boult, F. Coetzee, and V. Ramesh, "Error Analysis of Background Subtraction", IEEE Int. Conf. on Computer Vision, 2000.
- Hye-Youn Lim, Dae-Seong Kang, "The Moving Object Estimation Using an Efficient Background Extraction in the Outdoor Environment", Journal of Korean Institute of Information Technology, Vol. 7, No. 3, pp226-231, 2014.
- Joon-Goo Lee, Ki-Sun Han, Byoung-Moon You, Doo-Sung Hwang, "Shot Boundary Detection Algorithm by Compensating Pixel Brightness and Object Movement", Journal of The Korea Society of Computer and Information, Vol. 18, No. 5, pp35-42, 2013. https://doi.org/10.9708/jksci.2013.18.5.035
- Shin S. Y., Baik S. E., Pyo S. B., Rhee Y. W., "Scene Change Detection Using Local X2", Journal of The Korea Society of Computer and Information, Vol. 15, No. 1, pp203-207, 2007.
- Yang, Ming-Jiang, et al., "Cost Effective IP Camera For Video Surveillance", Industrial Electronics and Applications, ICIEA 2009, 4th IEEE Conference, 2009.