Visual computing technologies to support the Operator 4.0

Segura, Álvaro; Díez, Helen V.; Barandiarán, Íñigo; Arbelaiz, Ander; Álvarez, Hugo; Simões, Bruno; Posada, Jorge; García-Alonso, Alejandro; Ugarte, Ramón J.

doi:10.1016/j.cie.2018.11.060

Cited by 81 publications

(51 citation statements)

References 18 publications

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“…Posada et al [1] clearly defined computer vision as a key enabling technology for Industry 4.0. Segura et al [2] and Posada et al [3] showed the challenges and examples of computer vision technology in the field of robotics and human-robot collaboration. In typical scenarios, the target is specified in the first frame only (e.g., defining a rectangle), and it is often meaningful to track the target object in subsequent frames.…”

Section: Introductionmentioning

confidence: 99%

Robust Visual Tracking Based on Fusional Multi-Correlation-Filters with a High-Confidence Judgement Mechanism

Wang

Liu

et al. 2020

Applied Sciences

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Visual object trackers based on correlation filters have recently demonstrated substantial robustness to challenging conditions with variations in illumination and motion blur. Nonetheless, the models depend strongly on the spatial layout and are highly sensitive to deformation, scale, and occlusion. As presented and discussed in this paper, the colour attributes are combined due to their complementary characteristics to handle variations in shape well. In addition, a novel approach for robust scale estimation is proposed for mitigatinge the problems caused by fast motion and scale variations. Moreover, feedback from high-confidence tracking results was also utilized to prevent model corruption. The evaluation results for our tracker demonstrate that it performed outstandingly in terms of both precision and accuracy with enhancements of approximately 25% and 49%, respectively, in authoritative benchmarks compared to those for other popular correlation- filter-based trackers. Finally, the proposed tracker has demonstrated strong robustness, which has enabled online object tracking under various scenarios at a real-time frame rate of approximately 65 frames per second (FPS).

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Section: Introductionmentioning

confidence: 99%

Robust Visual Tracking Based on Fusional Multi-Correlation-Filters with a High-Confidence Judgement Mechanism

Wang

Liu

et al. 2020

Applied Sciences

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“…Nowadays, more than an amusement platform, augmented reality (AR)/virtual reality (VR) can be utilized in a wide range of applications such as archeology, geography, and space tours where real-world access is not available, and to train employees where actual live training is greatly unsafe, for example, on-board offshore oil rigs, medical surgery training and diagnosis, and neuroscience [1]. In Industry 4.0, cyber-physical systems (CPS) monitor physical processes, create a virtual replica of the physical world (Digital-Twin concept), and make autonomous decisions [2]. CPSs interact and collaborate in real-time with one another and humans across the value chain throughout the Internet of Things [2].…”

Section: Introductionmentioning

confidence: 99%

“…In Industry 4.0, cyber-physical systems (CPS) monitor physical processes, create a virtual replica of the physical world (Digital-Twin concept), and make autonomous decisions [2]. CPSs interact and collaborate in real-time with one another and humans across the value chain throughout the Internet of Things [2]. Romero et al [3] introduced the concept of Operator 4.0 in the context of human cyber-physical systems (H-CPS) as systems designed to improve human abilities, human physical sensing, and cognitive capabilities through different technologies, since Industry 4.0 without human beings would be unthinkable.…”

Section: Introductionmentioning

confidence: 99%

“…Romero et al [3] introduced the concept of Operator 4.0 in the context of human cyber-physical systems (H-CPS) as systems designed to improve human abilities, human physical sensing, and cognitive capabilities through different technologies, since Industry 4.0 without human beings would be unthinkable. Posada et al [4] elucidated that visual computing is a crucial technology to smooth human-machine interactions on various levels of smart production, where AR/VR are the main parts of visual computing technologies to empower the operator in Industry 4.0 [2]. The integration of the human operator in Industry 4.0 nevertheless poses challenges in research, technology, and politics [3].…”

Section: Introductionmentioning

confidence: 99%

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Exocentric Distance Judgment and Accuracy of Head-Mounted and Stereoscopic Widescreen Displays in Frontal Planes

et al. 2020

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An experiment was done to explore the effects of two virtual display systems on the accuracy of exocentric distance judgment and position. Sixteen participants viewed animated virtual targets using either a head-mounted display (HMD) or a stereoscopic widescreen display (SWD). The virtual targets have been shown, one at a time, at three depth levels and with two corresponding exocentric distances and three target sizes at each target distance and, afterward, via pointing by holding a stick to estimate the exocentric distance and position of each target. The position data were collected using an OptiTrack motion capture system. The results showed that the accuracy of exocentric distance judgment was higher with the head-mounted displays than with the stereoscopic widescreen displays. In addition, higher position accuracy in the X-direction was obtained from the stereoscopic widescreen displays, whereas no significant difference was observed in position accuracy in the Y-direction. However, it is possible that the HMD could give better accuracy in both exocentric distance and position judgments in the frontal plane, if the HMD had been perfectly mounted and flawlessly fit the participant’s eyes. The result also revealed that exocentric distance judgment was significantly higher at the farthest target distances than at the nearest distance. Similarly, the position accuracy significantly increased as exocentric distance decreased. Moreover, engineers may allude to the findings as the evidence from the study suggests that the intermediate target distances might be fitting or ideal distances to design and structure 3D applications.

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“…We invite the research community to submit novel contributions covering both IIOT and/or visual computing aspects in Industry 4.0, with clear preference to articles that address both aspects. Examples of expected papers that extend the current areas covered in this first volume include the semantic-based, digital media oriented Visual Analytics Solutions on IIoT data [23,24] and especially the participation of the Operator as a key area in Industry 4.0 implementations (Operator 4.0) as described in [25,26]. The impact of these applied research lines is more and more relevant in the industrial production of today and tomorrow.…”

mentioning

confidence: 99%

Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

Lacalle

Posada

2019

Applied Sciences

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Visual computing technologies to support the Operator 4.0

Cited by 81 publications

References 18 publications

Robust Visual Tracking Based on Fusional Multi-Correlation-Filters with a High-Confidence Judgement Mechanism

Robust Visual Tracking Based on Fusional Multi-Correlation-Filters with a High-Confidence Judgement Mechanism

Exocentric Distance Judgment and Accuracy of Head-Mounted and Stereoscopic Widescreen Displays in Frontal Planes

Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

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