Visual recognition and performance prediction of athletes based on target tracking EIA algorithm

2020 ◽  
pp. 1-14
Author(s):  
Dai Xianpeng
Keyword(s):  
Target Tracking ◽  
Visual Recognition ◽  
Feature Recognition ◽  
Tracking Algorithm ◽  
Appearance Model ◽  
Target Feature ◽  
Practical Applications ◽  
Adaptive Fusion ◽  
The Face ◽  
And Performance

In the past, the research of target tracking was often to track problems in a static background, and the tracking scenes were often stable, and the targets were special. However, target tracking is often a tracking problem in the face of realistic complex scenes, and the target and scene are more complex. Therefore, the target tracking algorithm still faces many challenges in practical applications, especially in sports visual feature recognition. Based on the needs of sports feature recognition, this study combines the EIA algorithm to construct a feature recognition model. Moreover, for the shortcomings of the compressed sensing tracking algorithm that cannot accurately and comprehensively describe the target shape through a single target feature, the multi-feature adaptive fusion method is used to visualize the target appearance model, thus improving the accuracy of target tracking. In addition, this study design experiments to analyze the performance of the algorithm model. The research results show that the algorithm model of this study has certain recognition effects.

scholarly journals Research on Target Tracking Algorithm of Twin Networks Integrating Attention Mechanism

2021 ◽  
Vol 2 (3) ◽  
pp. 78-81
Author(s):  
Relizha Yeerlanbieke ◽  
Huazhang Wang
Keyword(s):  
Target Tracking ◽  
Attention Mechanism ◽  
Tracking Algorithm ◽  
Residual Network ◽  
Target Feature ◽  
Data Set ◽  
Original Target ◽  
Detailed Feature ◽  
Current Stage ◽  
Important Structure

Aiming at the current stage of the twin network target tracking algorithm, the tracking target is occluded, the tracking is affected by illumination, and the target's scale change from far to near or from near to far causes tracking failure. This article will optimize and improve from two directions. The twin neural network first uses an adaptive detailed feature extraction, adds a residual network to the twin network, and embeds a detailed feature retention module in each layer, amplifies the changes in the target feature, and retains the important structure of the original target feature Details: Secondly, the introduction of a spatial attention mechanism allows the main branch to pay more attention to the area to be matched, improves the ability to distinguish features, and makes the tracking effect better. In order to verify the effectiveness of this experiment, this experiment was tested on the data set OTB2015. The experiment proved that the proposed algorithm performs better in accuracy and success rate.

The Study on Weighted Target Tracking Algorithm for Binary Sensor Networks

2010 ◽  
Vol 32 (9) ◽  
pp. 2052-2057
Author(s):  
Xiao-yan Sun ◽  
Jian-dong Li ◽  
Yan-hui Chen ◽  
Wen-zhu Zhang ◽  
Jun-liang Yao
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Tracking Algorithm ◽  
Binary Sensor

Epistemic self-esteem of philosophers in the face of philosophical disagreement

Human Affairs ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 328-342
Author(s):  
László Bernáth ◽  
János Tőzsér
Keyword(s):  
Self Esteem ◽  
Moderate Level ◽  
Significant Extent ◽  
Fourth Section ◽  
Philosophical Beliefs ◽  
Low Level ◽  
The Third ◽  
Epistemic Peers ◽  
The Face ◽  
And Performance

AbstractOur paper consists of four parts. In the first part, we describe the challenge of the pervasive and permanent philosophical disagreement over philosophers’ epistemic self-esteem. In the second part, we investigate the attitude of philosophers who have high epistemic self-esteem even in the face of philosophical disagreement and who believe they have well-grounded philosophical knowledge. In the third section, we focus on the attitude of philosophers who maintain a moderate level of epistemic self-esteem because they do not attribute substantive philosophical knowledge to themselves but still believe that they have epistemic right to defend substantive philosophical beliefs. In the fourth section, we analyse the attitude of philosophers who have a low level of epistemic self-esteem in relation to substantive philosophical beliefs and make no attempt to defend those beliefs. We argue that when faced with philosophical disagreement philosophers either have to deny that the dissenting philosophers are their epistemic peers or have to admit that doing philosophy is less meaningful than it seemed before. In this second case, philosophical activity and performance should not contribute to the philosophers’ overall epistemic self-esteem to any significant extent.

scholarly journals Switched Capacitor DC-DC Converters: A Survey on the Main Topologies, Design Characteristics, and Applications

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2231
Author(s):  
Alencar Franco de Souza ◽  
Fernando Lessa Tofoli ◽  
Enio Roberto Ribeiro
Keyword(s):  
Voltage Regulation ◽  
Inherent Difficulty ◽  
Practical Applications ◽  
Dc Power ◽  
Higher Power ◽  
Voltage Doubler ◽  
Converter Design ◽  
Design Characteristics ◽  
And Performance ◽  
Full Charge

This work presents a review of the main topologies of switched capacitors (SCs) used in DC-DC power conversion. Initially, the basic configurations are analyzed, that is, voltage doubler, series-parallel, Dickson, Fibonacci, and ladder. Some aspects regarding the choice of semiconductors and capacitors used in the circuits are addressed, as well their impact on the converter behavior. The operation of the structures in terms of full charge, partial charge, and no charge conditions is investigated. It is worth mentioning that these aspects directly influence the converter design and performance in terms of efficiency. Since voltage regulation is an inherent difficulty with SC converters, some control methods are presented for this purpose. Finally, some practical applications and the possibility of designing DC-DC converters for higher power levels are analyzed.

Advances in MXene Films: Synthesis, Assembly, and Applications

2021 ◽  
Author(s):  
Xiaohua Li ◽  
Feitian Ran ◽  
Fan Yang ◽  
Jun Long ◽  
Lu Shao
Keyword(s):  
Spin Coating ◽  
Reaction Mechanisms ◽  
Membrane Separation ◽  
Synthesis Methods ◽  
Metal Carbides ◽  
Max Phases ◽  
Practical Applications ◽  
Coating Methods ◽  
And Performance ◽  
Important Form

AbstractA growing family of two-dimensional (2D) transition metal carbides or nitrides, known as MXenes, have received increasing attention because of their unique properties, such as metallic conductivity and good hydrophilicity. The studies on MXenes have been widely pursued, given the composition diversity of the parent MAX phases. This review focuses on MXene films, an important form of MXene-based materials for practical applications. We summarized the synthesis methods of MXenes, focusing on emerging synthesis strategies and reaction mechanisms. The advanced assembly technologies of MXene films, including vacuum-assisted filtration, spin-coating methods, and several other approaches, were then highlighted. Finally, recent progress in the applications of MXene films in electrochemical energy storage, membrane separation, electromagnetic shielding fields, and burgeoning areas, as well as the correlation between compositions, architecture, and performance, was discussed.

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