Incremental Reconstruction of Moving Object Trajectory

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)

[img]
Preview
Text
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
Official URL: https://www.iaria.org/conferences2016/VISUAL16.htm...

Abstract

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: Article
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
Related URLs:
Depositing User: Bal Virdee
Date Deposited: 20 Feb 2017 11:35
Last Modified: 20 Feb 2017 11:35
URI: http://repository.londonmet.ac.uk/id/eprint/1202

Actions (login required)

View Item View Item