Trackez: An IoT-based 3D-Object Tracking from 2D Pixel Matrix using Mez and FSL AlgorithmShow others and affiliations
2023 (English)In: IEEE Access, E-ISSN 2169-3536, p. 1-1
Article 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
2023-07-122023-07-122025-02-07Bibliographically approved