Afzal, Muhammad Majid, Ouazzane, Karim, Vassilev, Vassil and Patel, Yogesh (2017) Incremental reconstruction of moving object trajectory. In: VISUAL 2016: The First International Conference on Applications and Systems of Visual Paradigms, 13-17 November 2016, Barcelona, Spain.
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Majid_Paper_YP_MJ_KO_VV_10thJuly_KO_camera_ready_v3.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (781kB) | Preview |
Abstract / Description
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.
Item Type: | Conference or Workshop Item (Paper) |
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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: | 11 Sep 2020 15:56 |
URI: | https://repository.londonmet.ac.uk/id/eprint/1202 |
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