Robust visual tracking for UAVs with dynamic feature weight selection

An, Zhiyong; Wang, Xiumin; Li, Bo; Xiang, Zhong-Liang; Zhang, Bin

doi:10.1007/s10489-022-03719-6

Cited by 54 publications

(29 citation statements)

References 46 publications

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“…In the future, applying the proposed algorithm to optimize the real-world complex engineering problems [52][53][54] has become the key research direction for the next step. At the same time, the methods and related applications based on parameter adaptation are also key issues to be considered [55][56][57][58].…”

Section: Discussionmentioning

confidence: 99%

Dynamic elite strategy mayfly algorithm

Zhu

2022

PLoS ONE

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The mayfly algorithm (MA), as a newly proposed intelligent optimization algorithm, is found that easy to fall into the local optimum and slow convergence speed. To address this, an improved mayfly algorithm based on dynamic elite strategy (DESMA) is proposed in this paper. Specifically, it first determines the specific space near the best mayfly in the current population, and dynamically sets the search radius. Then generating a certain number of elite mayflies within this range. Finally, the best one among the newly generated elite mayflies is selected to replace the best mayfly in the current population when the fitness value of elite mayfly is better than that of the best mayfly. Experimental results on 28 standard benchmark test functions from CEC2013 show that our proposed algorithm outperforms its peers in terms of accuracy speed and stability.

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Section: Discussionmentioning

confidence: 99%

Dynamic elite strategy mayfly algorithm

Zhu

2022

PLoS ONE

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“…Otherwise, it would be preferable to use multiple calibrations [20,32] or multibody kinematic optimization [16,17] to reduce STA. Moreover, various optimization techniques have recently been developed in other fields, and it is hoped that more actual scapular tracking methods will be invented to apply these techniques [33][34][35][36].…”

Section: Discussionmentioning

confidence: 99%

Three-Dimensional Quantitative Evaluation of the Scapular Skin Marker Movements in the Upright Posture

Yoshida

Matsumura

Yamada

et al. 2022

Sensors

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Motion capture systems using skin markers are widely used to evaluate scapular kinematics. However, soft-tissue artifact (STA) is a major limitation, and there is insufficient knowledge of the marker movements from the original locations. This study explores a scapular STA, including marker movements with shoulder elevation using upright computed tomography (CT). Ten healthy males (twenty shoulders in total) had markers attached to scapular bony landmarks and underwent upright CT in the reference and elevated positions. Marker movements were calculated and compared between markers. The bone-based and marker-based scapulothoracic rotation angles were also compared in both positions. The median marker movement distances were 30.4 mm for the acromial angle, 53.1 mm for the root of the scapular spine, and 70.0 mm for the inferior angle. Marker movements were significantly smaller on the superolateral aspect of the scapula, and superior movement was largest in the directional movement. Scapulothoracic rotation angles were significantly smaller in the marker-based rotation angles than in the bone-based rotation angles of the elevated position. We noted that the markers especially did not track the inferior movement of the scapular motion with shoulder elevation, resulting in an underestimation of the marker-based rotation angles.

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“…An et al. presented a robust tracking method for unmanned aerial vehicles (UAVs) according to dynamic feature weight selection 42 . This paper proposes a method based on semantic similarity to calculate the overall structural similarity between the candidate source and target domain 43,44 …”

Section: Methodsmentioning

confidence: 99%

Fault diagnosis for rolling bearing based on parameter transfer Bayesian network

Jiang

Zhou

2022

Quality & Reliability Eng

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At the beginning of the change in bearing condition, the bearing fault features are weak, often drowning in the background noise. It makes difficult to extract weak fault features from the vibration signal. If the fault features cannot be effectively extracted, the diagnostic accuracy will be greatly affected. Under this background, a fault diagnosis framework including two stages of signal enhancement and intelligent fault recognition is proposed in this work. Firstly, use a genetic algorithm to obtain the optimal combination of parameters, upon which the original fault signals are decomposed into intrinsic modal function components. Then, they are transformed into the spectrum signals and inputted into the proposed Bayesian network using dynamic weighted transfer learning (DWTL). This paper uses the DWTL method to set the source domain weight factor and the balance coefficient based on data quantity in different source and target domains.The DWTL method proposed in this paper can improve the fault diagnosis accuracy and effectively avoid the negative transfer phenomenon. An example of rolling bearing fault diagnosis is conducted. The results show that the accuracy of fault diagnosis based on the proposed framework is about 10% higher than that of other fault diagnosis methods. Therefore, the validity and feasibility of the proposed fault diagnosis framework are proved.

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Robust visual tracking for UAVs with dynamic feature weight selection

Cited by 54 publications

References 46 publications

Dynamic elite strategy mayfly algorithm

Dynamic elite strategy mayfly algorithm

Three-Dimensional Quantitative Evaluation of the Scapular Skin Marker Movements in the Upright Posture

Fault diagnosis for rolling bearing based on parameter transfer Bayesian network

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