|
[1] Muhammad Junaid Muzammil and Athar Mahboob. Design of multi-threaded real time embedded video acquisition system from ip cameras. In 2013 3rd International Conference on Computer, Control & Communication (IC4),, pages 1–5. IEEE, 2013. [2] Stefanie Theusner, Marc de Lussanet, and Markus Lappe. Action recognition by motion detection in posture space. The Journal of Neuroscience, 34(3):909–921, 2014. [3] Daeho Lee and Youngtae Park. Vision-based remote control system by motion detection and open finger counting. IEEE Transactions on Consumer Electronics, 55(4):2308– 2313, 2009. [4] Amir Akramin Shafie, Fadhlan Hafiz, MH Ali, et al. Motion detection techniques using optical flow. World Academy of Science, Engineering and Technology, 56:559–561, 2009. [5] Kui Liu, Qian Du, He Yang, and Ben Ma. Optical flow and principal component analysis-based motion detection in outdoor videos. EURASIP Journal on Advances in Signal Processing, 2010:1, 2010. [6] Daw-Tung Lin and Li-Wei Liu. Real-time detection of passing objects using virtual gate and motion vector analysis. In Ubiquitous Intelligence and Computing, pages 710–719. Springer, 2008. [7] Jiajun Lu, Yi Xu, and Xiaokang Yang. Counting pedestrians and cars with an improved virtual gate method. In 2010 International Conference on Computer Application and System Modeling (ICCASM), volume 4, pages V4–448. IEEE, 2010. [8] Gwang-Gook Lee, Byeoung-su Kim, and Whoi-Yul Kim. Automatic estimation of pedestrian flow. In 2007. ICDSC’07. First ACM/IEEE International Conference on Distributed Smart Cameras, pages 291–296. IEEE, 2007. [9] Bruce D Lucas, Takeo Kanade, et al. An iterative image registration technique with an application to stereo vision. In IJCAI, volume 81, pages 674–679, 1981. [10] Nacim Ihaddadene and Chabane Djeraba. Real-time crowd motion analysis. In 2008. ICPR 2008. 19th International Conference on Pattern Recognition, pages 1–4. IEEE, 2008. [11] Shih-Chia Huang. An advanced motion detection algorithm with video quality analysis for video surveillance systems. IEEE Transactions on Circuits and Systems for Video Technology, 21(1):1–14, 2011. [12] Fang Zhu, Zhangjun Fei, and Feiling Chen. A fast and robust algorithm of motion detection for distributed outdoor surveillance. In 2011 International Symposium on IT in Medicine and Education (ITME), volume 1, pages 129–132. IEEE, 2011. [13] SANKET GULHANE and ACHYUT JOSHI. Detection of moving object with the help of motion detection alarm system in video survelliance. 2012. [14] Farou Brahim, Seridi Hamid, and Akdag Herman. A new approach for the extraction of moving objects. In Modeling Approaches and Algorithms for Advanced Computer Applications, pages 27–36. Springer, 2013. [15] Karl Pearson. Liii. on lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11): 559–572, 1901. [16] Harold Hotelling. Analysis of a complex of statistical variables into principal components. Journal of educational psychology, 24(6):417, 1933. [17] Ya-Li Hou and Grantham KH Pang. People counting and human detection in a challenging situation. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 41(1):24–33, 2011. [18] Michael Patzold, Rubén Heras Evangelio, and Thomas Sikora. Counting people in crowded environments by fusion of shape and motion information. In Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on, pages 157–164. IEEE, 2010. [19] Brajesh Patel and Neelam Patel. Motion detection based on multi frame video under surveillance system. Int. J. Comput. Sci. Netw. Secur, 12(3):100–107, 2012. [20] Shizuka Fujisawa, Go Hasegawa, Yoshiaki Taniguchi, and Hirotaka Nakano. Pedestrian counting in video sequences based on optical flow clustering. International Journal of Image Processing, 7(1):1–16, 2013. [21] Fatih Kaleli and Yusuf Sinan Akgul. Vision-based railroad track extraction using dynamic programming. In 2009. ITSC’09. 12th International IEEE Conference on Intelligent Transportation Systems, pages 1–6. IEEE, 2009. [22] Kin-Yi Yam, Wan-Chi Siu, Ngai-Fong Law, and Chok-Ki Chan. Effective bi-directional people flow counting for real time surveillance system. In ICCE Proceedings, volume 11, pages 863–864, 2011. [23] X Zhao, P Liu, J Liu, and X Tang. Background subtraction using semantic-based hierarchical gmm. Electronics letters, 48(14):825–827, 2012. [24] Wissal Hassen and Hamid Amiri. Block matching algorithms for motion estimation. In 2013 7th IEEE International Conference on e-Learning in Industrial Electronics (ICELIE), pages 136–139. IEEE, 2013. [25] Shan Zhu and Kai-Kuang Ma. A new diamond search algorithm for fast block-matching motion estimation. IEEE Transactions on Image Processing, 9(2):287–290, 2000. [26] Lai-Man Po and Wing-Chung Ma. A novel four-step search algorithm for fast block motion estimation. IEEE Transactions on Circuits and Systems for Video Technology, 6(3):313–317, 1996. [27] M Ghanbari. The cross-search algorithm for motion estimation [image coding]. IEEE Transactions on Communications, 38(7):950–953, 1990. [28] ZhiGang Zhang, CuiLi Ji, and Qing Liu. A modified motion vector multi-template self-adaptive search algorithm for motion estimation. In 2011 International Conference on Computer Science and Network Technology (ICCSNT), volume 3, pages 1525–1528. IEEE, 2011. [29] T Koga. Motion-compensated interframe coding for video conferencing. In Proc. NTC 81, pages C9–6, 1981. [30] Vikas Gupta, Dilip Kumar Gandhi, and Pranay Yadav. Removal of fixed value impulse noise using improved mean filter for image enhancement. In 2013 Nirma University International Conference on Engineering (NUiCONE), pages 1–5. IEEE, 2013. [31] VR Vijaykumar, G Santhana Mari, and D Ebenezer. Fast switching based medianmean filter for high density salt and pepper noise removal. AEU-International Journal of Electronics and Communications, 2014. [32] Ming GUO, Min ZHU, and Xiao-dong ZHOU. A symmetrical orientation weighted mean filter for salt and pepper noise removing. Laser & Infrared, 11:020, 2011. [33] Zhenwei Miao and Xudong Jiang. Weighted iterative truncated mean filter. IEEE Transactions on Signal Processing, 61(16):4149–4160, 2013. [34] Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgon. Real-time moving object detection for video surveillance system in fpga. In 2011 Conference on Design and Architectures for Signal and Image Processing (DASIP), pages 1–8. IEEE, 2011. [35] Wenshuo Gao, Xiaoguang Zhang, Lei Yang, and Huizhong Liu. An improved sobel edge detection. In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), volume 5, pages 67–71. IEEE, 2010. [36] Samta Gupta and Susmita Ghosh Mazumdar. Sobel edge detection algorithm. International journal of computer science and management Research, 2(2):p1578–1583, 2013. [37] JL Castro, Miguel Delgado, Javier Medina, and MD Ruiz-Lozano. Intelligent surveillance system with integration of heterogeneous information for intrusion detection. Expert Systems with Applications, 38(9):11182–11192, 2011. [38] Seungmin Rho, Geyong Min, and Weifeng Chen. Advanced issues in artificial intelligence and pattern recognition for intelligent surveillance system in smart home environment. Engineering Applications of Artificial Intelligence, 25(7):1299–1300, 2012.
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