scholarly journals Human Attributes from 3D Pose Tracking

Author(s):  
Leonid Sigal ◽  
David J. Fleet ◽  
Nikolaus F. Troje ◽  
Micha Livne
2012 ◽  
Vol 116 (5) ◽  
pp. 648-660 ◽  
Author(s):  
Micha Livne ◽  
Leonid Sigal ◽  
Nikolaus F. Troje ◽  
David J. Fleet

2021 ◽  
Vol 102 (2) ◽  
Author(s):  
Nuno Pessanha Santos ◽  
Victor Lobo ◽  
Alexandre Bernardino

Author(s):  
Kejie Gong ◽  
Ying Liao ◽  
Yafei Mei

This article proposed an extended state observer (ESO)–based output feedback control scheme for rigid spacecraft pose tracking without velocity feedback, which accounts for inertial uncertainties, external disturbances, and control input constraints. In this research, the 6-DOF tracking error dynamics is described by the exponential coordinates on SE(3). A novel continuous finite-time ESO is proposed to estimate the velocity information and the compound disturbance, and the estimations are utilized in the control law design. The ESO ensures a finite-time uniform ultimately bounded stability of the observation states, which is proved utilizing the homogeneity method. A non-singular finite-time terminal sliding mode controller based on super-twisting technology is proposed, which would drive spacecraft tracking the desired states. The other two observer-based controllers are also proposed for comparison. The superiorities of the proposed control scheme are demonstrated by theory analyses and numerical simulations.


2021 ◽  
pp. 1-15
Author(s):  
Xinke Deng ◽  
Arsalan Mousavian ◽  
Yu Xiang ◽  
Fei Xia ◽  
Timothy Bretl ◽  
...  

Author(s):  
Li Yuan ◽  
Shuning Chang ◽  
Ziyuan Huang ◽  
Yichen Zhou ◽  
Yupeng Chen ◽  
...  
Keyword(s):  

Machines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 112
Author(s):  
Loukas Bampis ◽  
Spyridon G. Mouroutsos ◽  
Antonios Gasteratos

The paper at hand presents a novel and versatile method for tracking the pose of varying products during their manufacturing procedure. By using modern Deep Neural Network techniques based on Attention models, the most representative points to track an object can be automatically identified using its drawing. Then, during manufacturing, the body of the product is processed with Aluminum Oxide on those points, which is unobtrusive in the visible spectrum, but easily distinguishable from infrared cameras. Our proposal allows for the inclusion of Artificial Intelligence in Computer-Aided Manufacturing to assist the autonomous control of robotic handlers.


2012 ◽  
Vol 12 (2) ◽  
pp. 229-245 ◽  
Author(s):  
Maribel Blasco ◽  
Liv Egholm Feldt ◽  
Michael Jakobsen

The article offers a critique of the concept of cultural intelligence (CQ) from a semiotic perspective. It addresses three assumptions that underpin the CQ concept: that CQ exists, that conflict and misunderstandings are antithetical to CQ and that metacognition involves a cultural dimension. The analysis focuses in particular on the dimension of cultural metacognition which has recently been claimed to be the CQ concept’s main contribution compared to earlier concepts such as cross-cultural or intercultural competence, a claim which is found to be overstated. The article uses the example of CQ training to illustrate the need for greater attention to context and motivation when CQ is deployed for business purposes, as well as to the role of experience in cultural learning processes. At a broader level, the article urges caution in assuming that all human attributes can be trained for business purposes, especially through short-term interventions.


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