Journal of Engineering and Applied Sciences

Year: 2016
Volume: 11
Issue: 3
Page No. 446 - 451

Aggressive Behaviour Analytics: A Brief Review

Authors : Nur Syazwani Samanu, Mohd Asyraf Zulkifley Nor Afiqah Ramdun and Aini Hussain

References

Appiah, K., A. Hunter, J. Owens, P. Aiken and K. Lewis, 2009. Autonomous real-time surveillance system with distributed IP cameras. Proceedings of the 3rd ACM/IEEE International Conference on Distributed Smart Cameras, August 30-September 2, 2009, Como, Italy, pp: 1-8.

Blasch, E., 2009. NAECON08 grand challenge entry using the belief filter in audio-video track and ID fusion. Proceedings of the IEEE National Aerospace and Electronics Conference, July 21-23, 2009, Dayton, OH., USA., pp: 296-303.

Chen, D., H. Wactlar, M.Y. Chen, C. Gao, A. Bharucha and A. Hauptmann, 2008. Recognition of aggressive human behavior using binary local motion descriptors. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 20-25, 2008, Vancouver, BC., Canada, pp: 5238-5241.

Ezzahout, A. and R.O.H. Thami, 2013. Conception and development of a video surveillance system for detecting, tracking and profile analysis of a person. Proceedings of the 3rd International Symposium on ISKO-Maghreb, November 8-9, 2013, Marrakech, Morocco, pp: 1-5.

Hou, A.L., J.L. Guo, C.J. Wang, L. Wu and F. Li, 2013. Abnormal behavior recognition based on trajectory feature and regional optical flow. Proceedings of the 7th International Conference on Image and Graphics, July 26-28, 2013, Qingdao, China, pp: 643-649.

Ju, J., B. Ku, D. Kim, T. Song, D.K. Han and H. Ko, 2015. Online multi-person tracking for intelligent video surveillance systems. Proceedings of the IEEE International Conference on Consumer Electronics, January 9-12, 2015, Las Vegas, NV., USA., pp: 345-346.

Kim, J.S., D.H. Yeom and Y.H. Joo, 2011. Fast and robust algorithm of tracking multiple moving objects for intelligent video surveillance systems. IEEE Trans. Consum. Electron., 57: 1165-1170.
CrossRef  |  

Lim, H.S., M.Z. MatJafri, K. Abdullah, C.J. Wong and N.M. Saleh, 2006. PM10 retrieval technique from internet protocol camera imageries. Proceedings of the International Conference on Computing and Informatics, June 6-8, 2006, Kuala Lumpur, Malaysia, pp: 1-6.

Moon, H.M., C.H. Seo, Y. Chung and S.B. Pan, 2009. Privacy protection technology in video surveillance system. Proceedings of the 4th International Conference on Embedded and Multimedia Computing, December 10-12, 2009, Jeju, South Korea, pp: 1-6.

Murata, A., T. Kanagawa, N. Hata and T. Hayami, 2012. Effects of penalty and probability of punishment on cooperative behavior in 2-person Prisoner's dilemma situation. Proceedings of the SICE Annual Conference, August 20-23, 2012, Akita, Japan, pp: 2144-2150.

Murthy, O.V.R., I. Radwan, A. Dhall and R. Goecke, 2013. On the effect of human body parts in large scale human behaviour recognition. Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, November 26-28, 2013, Hobart, Australia, pp: 1-8.

Nirjon, S., C. Greenwood, C. Torres, S. Zhou and J.A. Stankovic et al., 2014. Kintense: A robust, accurate, real-time and evolving system for detecting aggressive actions from streaming 3D skeleton data. Proceedings of the IEEE International Conference on Pervasive Computing and Communications, March 24-28, 2014, Budapest, Hungary, pp: 2-10.

Ouanane, A. and A. Serir, 2013. New paradigm for recognition of aggressive human behavior based on bag-of-features and skeleton graph. Proceedings of the 8th International Workshop on Systems, Signal Processing and their Applications, May 12-15, 2013, Algiers, Algeria, pp: 133-138.

Pang, J.M., V.V. Yap and C.S. Soh, 2014. Human behavioral analytics system for video surveillance. Proceedings of the IEEE International Conference on Control System, Computing and Engineering, November 28-30, 2014, Batu Ferringhi, Malaysia, pp: 23-28.

Stratton, G., R. Murphy, M. Rosenberg, P. Fergus and A. Attwood, 2012. Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings. Proceedings of the IEEE International Conference on Communications, June 10-15, 2012, Ottawa, ON., Canada, pp: 6111-6115.

Theodoridis, T. and H. Hu, 2013. Modeling aggressive behaviors with evolutionary taxonomers. IEEE Trans. Hum.-Mach. Syst., 43: 302-313.
CrossRef  |  

Wilson, B.D., 2008. Development in video technology for coaching. Sports Technol., 1: 34-40.
CrossRef  |  Direct Link  |  

Wu, X., Y. Ou, H. Qian and Y. Xu, 2005. Detection system for human abnormal behavior. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2-6, 2005, Edmonton,Canada, pp: 1204-1208.

Zhen, C. and Y. Su, 2010. Research on the image capture technology in the video screen. Proceedings of the 3rd International Conference on Advanced Computer Theory and Engineering, Volume 5, August 20-22, 2010, Chengdu, China, pp: 581-584.

Zulkifley, M.A., N.S. Samanu, N.A.A.N. Zulkepeli, Z. Kadim and H.H. Woon, 2016. Kalman filter-based aggressive behaviour detection for indoor environment. Proceedings of the 7th International Conference on Information Science and Applications, February 15-18, 2016, Ho Chi Minh City, Vietnam, pp: 829-837.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved