HYBRID MULTIDISCIPLINARY ALGORITHM FOR REAL TIME PROJECTILE MOTION TRACKING, LOGGING & PREDICTIO
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Abstract
The undertaking of movement recognition framework is to distinguish a "zone of movement" exhibit in a "region of condition being observed". Movement recognition is typically programming based checking calculation. In this part we lead the basic picture handling operations and caught them with the assistance of Hybrid Multidisciplinary Algorithm for Real Time Projectile Motion.
We propose the Method of following calculation which coordinates the versatile best foundation recognition, information affiliation, including new estimation, and straight task issue to limit the cost of perception of following. The exploratory outcome demonstrates that the dynamic foundation can be removed precisely and speedily, the calculation can be used in the continuous following applications.
Keywords: Real Time Projectile Motion, Active background estimation, Activity modelling, Data association, video monitoring, Linear Assignment problem, Hybrid Multidisciplinary Algorithm.
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References
GUI Based Motion Detection of a Projectile Abhijit Paul Prabhat Ranjan School Dept. of ECE, Centurion University of Technology & Management, Odisha, India
S. Sulaiman, A. Hussain, N. Md. Tahir and S.A. Samad. “Graphical User Interface (GUI) Development for Object Tracking System in Video Sequencesâ€. World Applied Sciences Journal 4 (2): 244-249, 2009.
Debabrata Debnath, Arijit Choudhury, Abhisek Chakraborty, Ashok ku. Ray, Swanibhar Majumder.“MATLAB Based Motion Detection Circuitâ€. Proceeding of Third National Conference on Mathematical Techniques: Emerging Paradigms For Electronics & IT Industries (MATEIT)â€, 2011.
Raman Maini and Himanshu Aggarwal. “A Comprehensive Review of Image enhancement techniquesâ€. journal of computing, volume 2, issue 3, march 2010, issn 2151-9617
A.Harish Kumar Gupta, B.Pooja Upadhyay, c.sourabh dubey, f.d.satyendra pratap sing. “motion security/theft protection using mat lab programmingâ€. International journal of advance technology & engineering research (ijater), 2013.
He, D.; Hujic, D.; Mills, J.K.; Benhabib, B. "Moving-object recognition using premarking and active vision "; Robotics and Automation, 1996. Proceedings. 1996 IEEE International Conference.
Diplaros, A.; Gevers, T.; Patras, I.; "Combining color and shape information for illumination-viewpoint invariant object recognition",Image Processing, IEEE Transactions on Jan. 2006 Volume : 15 ,Issue:1
Jae-Han Park; Seung-Ho Baeg; Jaehan Koh; Kyung-Wook Park;Moon-Hong Baeg; "A new object recognition system for service robots in the smart environment" Control, Automation and Systems,2007. ICCAS '07.
Chyi-Yeu Lin; Setiawan, E. "Object orientation recognition based on SIFT and SVM by using stereo camera", Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference.
Chensheng Wang; Fei Wang; "A Knowledge-Based Strategy for Object Recognition and Reconstruction "; Information technology and Computer Science, 2009. itcs 2009.