Tracking algorithm of snowboard target in intelligent system

Li, Zhipeng; Li, Xiaolan; Shi, Ming; Song, Wenli; Zhao, Guowei; Yang, Ruizhu; Li, Shangbin

doi:10.3233/jifs-189350

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…According to Li et al [4], a multialgorithm fusion target tracking technique is suggested in this work to tackle the issue. Initial rough matching is done using a SIFT feature method to establish a target's approximate location.…”

Section: Literature Surveymentioning

confidence: 99%

“…Initial rough matching is done using a SIFT feature method to establish a target's approximate location. In order to gain a more precise idea of the target's location, the excellent mean shift algorithm is then used [4].…”

Section: Literature Surveymentioning

confidence: 99%

“…Analysis and research of sports films to discover the flaws of the opposing party or one's own to the design of guidance programmers and challenging models are of signif-icant practical importance. There has been a lot of interest in sports target tracking as part of sports video analysis [3,4]. Target tracking in sports videos is very difficult because of the interference caused by the shifting angles and illuminations of the cameras used to record the action.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Yang

Wang

2022

Wireless Communications and Mobile Computing

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The object tracking is an important task to future generations to find accurate information from frame (sports or any cctv). The available models like RFO, DT, Xboosting, Gradient boosting, and CNN are outdated for sports video tracking using video. The target and trajectory finding are very important for accurate tracking. Therefore, for crossover, the above limitation’s intelligence analysis is performed with ANN. The video tracking can be very simple and efficient with proposed model. As a result, this ANN offers a sports camera target detection system based on an upgraded grey neural network. This research uses the automatic threshold technique to divide the target object of sports camera and derive the designated target of sports video based on the pixel grey difference of the target image in sports video. The moving objects are tracked by the object tracking algorithm, and features are extracted to obtain the results. The performance measures like accuracy of 95.23%, sensitivity of 94.45%, and recall of 93.34% had been attained.

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Yang

Wang

2022

Wireless Communications and Mobile Computing

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“…Here, we use the extended Kalman filter to estimate the motion state of the target, such as position, velocity, and acceleration [15]. e Kalman filter is mainly used to estimate the system state in an uncertain dynamic system including interference and other factors.…”

Section: State Characteristicsmentioning

confidence: 99%

Quantitative of Atomic Spectra by Laser-Induced Teaching Integrating Multitarget Tracking Algorithm

Zhang

Liu

Zhang

2022

Mobile Information Systems

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Laser-induced breakdown spectroscopy refers to the radiation spectrum formed by the vaporization and ionization of samples under high-temperature conditions. It is a new technology for detecting and analyzing the composition and content of materials. However, this technology is not yet very mature; in this regard, this paper proposes a quantitative study of atomic spectroscopy using laser-induced technology. On this basis, a method using laser-induced breakdown spectroscopy is proposed, and its quantitative analysis and application are carried out in detail. The laser-induced breakdown technology uses a high-power pulsed laser to form a plasma on the surface of the test piece and analyzes its radiation spectrum to obtain the composition and content of its elements. It also used the laser-induced breakdown technique to quantitatively analyze the Ti-doped Al2O3 ceramic system. Through the quantitative analysis of constant laser and constant plasma temperature, the linear correlation coefficient R2 of the calibration curve calculated with constant plasma temperature is obtained as 0.985, and the relative error is 5.3%. This paper uses a fixed laser pulse amplification voltage, the linear coefficient of the proportional relationship curve is only 0.92, and the error rate is 8.9%. By comparing the two curves, the Ti proportional curve obtained by a fixed plasma temperature is obtained in this paper. Its linearity is better than the Ti scaling curve obtained by constant laser voltage.

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3D reconstruction system and multiobject local tracking algorithm designed for billiards

et al. 2023

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The use of virtual reality or augmented reality systems in billiards sports are useful tools for pure entertainment or improving the player’s skills. Depending on the purpose of these systems, tracking algorithms based on computer vision must be used. These algorithms are especially useful in systems aiming to reconstruct the trajectories followed by the balls after a strike. However, depending on the billiard modality, the problem of tracking multiple small identical objects, such as balls, is a complex task. In addition, when an amateur or nontop professional player uses low-frame-rate and low-resolution devices, problems such as blurred balls, blurred contours, or fuzzy edges, among others, arise. These effects have a negative impact on ball-tracking accuracy and reconstruction quality. Thus, this work proposes two contributions. The first contribution is a new tracking algorithm called “multiobject local tracking (MOLT)”. This algorithm can track balls with high precision and accuracy even with motion blur caused by low-resolution and low-frame-rate devices. Moreover, the proposed MOLT algorithm is compared with nine tracking methods and four different metrics, outperforming the rest of the methods in the majority of the cases and providing a robust solution. The second contribution is a whole system to track (using the MOLT algorithm) and reconstruct the movements of the balls on a billiard table in a 3D virtual world using computer vision. The proposed system covers all steps from image capture to 3D reconstruction. The 3D reconstruction results have been qualitatively evaluated by different users through a series of questionnaires, obtaining an overall score of 7.6 (out of 10), which indicates that the system is a promising and useful tool for training. Finally, both the MOLT algorithm and the reconstruction system are tested in three billiard modalities: blackball, carom billiards, and snooker.

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Tracking algorithm of snowboard target in intelligent system

Cited by 5 publications

References 13 publications

Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Quantitative of Atomic Spectra by Laser-Induced Teaching Integrating Multitarget Tracking Algorithm

3D reconstruction system and multiobject local tracking algorithm designed for billiards

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