Afzal, Muhammad Majid and Ouazzane, Karim and Vassilev, Vassil and Patel, Yogesh (2017) Incremental Reconstruction of Moving Object Trajectory. The First International Conference on Applications and Systems of Visual Paradigms. pp. 24-29. ISSN 978-1-61208-520-3 (Submitted)
Majid_Paper_YP_MJ_KO_VV_10thJuly_KO_camera_ready_v3.pdf - Accepted Version
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This article presents a model and a prototype implementation of a technical application programming interface (API) for incremental reconstruction of the moving objects trajectories captured by closed-circuit television (CCTV) and High-definition television (HDTV) cameras. This paper proposes a unique, much simpler model-driven approach which is more efficient than other approaches for dynamic tracking such as Microsoft Kinect. The research reported here is part of a research program of the Cybersecurity Research Group of London Metropolitan University for real-time video analytics with applicability to surveillance in security, disaster recovery and safety management, and customer insight.
|Uncontrolled Keywords:||Video surveillance; Real-time video analytics; Moving objects tracking; Trajectory reconstruction; Model-driven motion description; Incremental algorithms|
|Subjects:||000 Computer science, information & general works|
|Department:||School of Computing and Digital Media|
|Depositing User:||Bal Virdee|
|Date Deposited:||20 Feb 2017 11:35|
|Last Modified:||20 Feb 2017 11:35|
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