Emergency Rescue Training System for Earthquakes Based on Immersive Technology

Li, Jun; Minghui, Zuo

doi:10.1109/iaeac50856.2021.9391080

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…For example, Wang Xiaoyan et al have conducted in-depth research on the use of the three-frame difference method to extract targets. Yao Qian et al have used the idea of combining the three-frame difference method [15][16][17][18][19] and mean-shift to realize the detection and tracking of the human body. Wang Bin et al made vehicle recognition possible by combining two types of different methods: the background difference technique and the interframe difference method, whereas Wei et al use the three-frame difference approach in conjunction with better Gaussian modeling to detect moving objects.…”

Section: Interframe Difference Methodmentioning

confidence: 99%

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

Xing

2022

Mathematical Problems in Engineering

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People are increasingly interested in moving object detection technology as a part of computer vision technology, which has grown in importance in recent years. Moving target detection technology is widely employed in military defense, security monitoring, medical examinations, intelligent transportation, and many other industries at the present time. A moving target detection system relies on rapid and accurate video picture segmentation to identify, locate, and analyze the target. The trajectory of a basketball player’s shooting motion and the extraction of features are important to increase the accuracy of basketball players’ shots. This study proposes an area growth algorithm-based approach to tracing the shooting motion of basketball players. The trajectory of the shot motion is captured using a video sensor image tracking approach. The corner points and the edge contours of the trajectory image are extracted using the edge contour feature extraction method, the feature extraction from the firing motion trajectory image is merged with the regional linear growth approach, and the corner points are then marked. Feature extraction improves basketball players’ shooting accuracy and trajectory control ability. Simulation results show that the prediction accuracy of basketball players’ shooting trajectories using this method can reach up to 100%, which improves the accuracy of motion trajectory extraction and enhances basketball players’ shooting motion control.

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Section: Interframe Difference Methodmentioning

confidence: 99%

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

Xing

2022

Mathematical Problems in Engineering

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P‐4.8: The Research Status and Prospect of Virtual Reality in Rescue Field

Hu,

Yang,

Wang

2024

Symp Digest of Tech Papers

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With the frequent occurrence of disasters and accidents, as well as the rapid development of virtual reality technology, the immersive experience brought by virtual reality technology provides innovative solutions for the rescue field. This article reviews the development history and research status of virtual reality in the field of rescue, introduces the application of virtual reality technology in simulating disaster scenarios, training rescue personnel, and improving decision‐making efficiency in earthquake, fire, and mine rescue, and emphasizes the advantages of virtual reality technology in the rescue field. Finally, the prospects of virtual reality technology in the field of rescue were discussed.

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Emergency Rescue Training System for Earthquakes Based on Immersive Technology

Cited by 2 publications

References 7 publications

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

P‐4.8: The Research Status and Prospect of Virtual Reality in Rescue Field

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