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Trackez: An IoT-based 3D-Object Tracking from 2D Pixel Matrix using Mez and FSL Algorithm
Daffodil International University, Bangladesh.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Jahangirnagar University, Bangladesh.
Queensland University of Technology, Australia.
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, p. 1-1Article in journal (Refereed) Published
Abstract [en]

The imaging devices sense light reflected from objects and reconstruct images using the 2D-sensor matrix. It is a 2D Cartesian coordinate system where the depth dimension is absent. The absence of a depth axis on 2D images imposes challenges in locating and tracking objects in a 3D environment. Real-time object tracking faces another challenge imposed by network latency. This paper presents the development and analysis of a real-time, real-world object tracker called Trackez, which is capable of tracking within the top hemisphere. It uses Machine Vision at the IoT Edge (Mez) technology to mitigate latency sensitivity. A novel algorithm, Follow-Satisfy-Loop (FSL), has been developed and implemented in this paper that optimally tracks the target. It does not require the depth-axis. The simple and innovative design and incorporation of Mez technology have made the proposed object tracker a latency-insensitive, Z-axis-independent, and effective system. The Trackez reduces the average latency by 85.08% and improves the average accuracy by 81.71%. The object tracker accurately tracks objects moving in regular and irregular patterns at up to 5.4 speed. This accurate, latency tolerant, and Z-axis independent tracking system contributes to developing a better robotics system that requires object tracking.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. p. 1-1
Keywords [en]
2D Coordinate, 3D coordinate, IoT Edge, Latency Sensitivity, Machine Vision, Mez, Object recognition, Object tracking, Real-time systems, Sensitivity, Streaming media, Target tracking, Three-dimensional displays, Augmented reality, Computer vision, Interactive computer systems, Internet of things, Media streaming, Real time systems, Three dimensional displays, 2D coordinates, 3D coordinates, Machine-vision, Objects recognition, Real - Time system, Streaming medium, Targets tracking, Three-dimensional display
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:mdh:diva-63858DOI: 10.1109/ACCESS.2023.3287496ISI: 001018658700001Scopus ID: 2-s2.0-85162867281OAI: oai:DiVA.org:mdh-63858DiVA, id: diva2:1782183
Available from: 2023-07-12 Created: 2023-07-12 Last updated: 2025-02-07Bibliographically approved

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Kabir, Md Alamgir

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