Collaborative Tracking Method in Multi-Camera System

Zhou, Zhipeng; Yin, Dong; Ding, Juchun; Luo, Yuhao; Yuan, Mingyue; Zhu, Chunyin

doi:10.1007/s12204-020-2188-x

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Nibea species were well claded into a separate group except for N. miichthioides , while N. miichthioides were divided into groups of A. rgyrosomus . N. miichthioides , and A. amoyensis were synonyms determined with otoliths and bladder by Zhu et al ( 1963 ) suggesting that N. miichthioides and A. amoyensis were the same species. However, complete mtDNA failed to differentiate A. amoyensis and A. japonicus , these results were in concordance with the study done by Lv ( 2017 ), stating that geographical variation may contribute to this confusion.…”

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confidence: 75%

“…The family of Sciaenidae is commercially important species which is one of the most species of the order Perciformes, with about 70 genera and more than 270 species worldwide distribution (Nelson et al 2016 ). Sciaenidae species are very similar in morphology and synonyms always recorded in different regions [such as Argyrosomus japonicus and A. amoyensis were recorded as Nibea japonica and N. miichthioides , respectively by Zhu et al ( 1963 )]. However, A. japonica and N. miichthioides were recorded as A. ponicus and A. amoyensis respectively by the fish database of Taiwan ( fishdb.sinica.edu.tw ), as well as Fishbase ( fishbase.org ).…”

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confidence: 99%

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Molecular phylogeny of the Sciaenidae based on the complete mitochondrial sequences

Huang

Lin

et al. 2018

Mitochondrial DNA Part B

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In this study, 45 complete mitochondrial genomes of Sciaenidae species obtained from GenBank were analyzed. Our results suggested that mitochondrial genomes could be an effective marker for resolving the phylogeny of Sciaenidae species. Phylogenetic relationships indicated that Johnius species are more ancient species among all the species that were used in this analysis because Johnius species stands on the root of the polygenetic tree. However, Collichthys niveatus could not separate from Larimichthys polyactis based on the complete mtDNA which indicate that these two species needs further study in the future.

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confidence: 75%

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confidence: 99%

Molecular phylogeny of the Sciaenidae based on the complete mitochondrial sequences

Huang

Lin

et al. 2018

Mitochondrial DNA Part B

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“…The control of the motors is provided by the camera control unit, which is programmed according to the specific kinematic structure of the mechanism. According to the kinematic model and the type of motors used in construction, it is possible to find the dependencies and equations for the control, according to which the specific movement of the individual motors can be recalculated for every possible movement [1,2].…”

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confidence: 99%

Mechatronic Device Control by Artificial Intelligence

Bohušík

Stenchlák

Císar

et al. 2023

Sensors

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Nowadays, artificial intelligence is used everywhere in the world and is becoming a key factor for innovation and progress in many areas of human life. From medicine to industry to consumer electronics, its influence is ever-expanding and permeates all aspects of our modern society. This article presents the use of artificial intelligence (prediction) for the control of three motors used for effector control in a spherical parallel kinematic structure of a designed device. The kinematic model used was the “Agile eye” which can achieve high dynamics and has three degrees of freedom. A prototype of this device was designed and built, on which experiments were carried out in the framework of motor control. As the prototype was created through the means of the available equipment (3D printing and lathe), the clearances of the kinematic mechanism were made and then calibrated through prediction. The paper also presents a method for motor control calibration. On the one hand, using AI is an efficient way to achieve higher precision in positioning the optical axis of the effector. On the other hand, such calibration would be rendered unnecessary if the clearances and inaccuracies in the mechanism could be eliminated mechanically. The device was designed with imperfections such as clearances in mind so the effectiveness of the calibration could be tested and evaluated. The resulting control of the achieved movements of the axis of the device (effector) took place when obtaining the exact location of the tracked point. There are several methods for controlling the motors of mechatronic devices (e.g., Matlab-Simscape). This paper presents an experiment performed to verify the possibility of controlling the kinematic mechanism through neural networks and eliminating inaccuracies caused by imprecisely produced mechanical parts.

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