Artificial Intelligence Assists Drones in Motion Capture
DOI:
https://doi.org/10.54097/4nj78h24Keywords:
Human Motion Capture; Convolutional Neural Network; Graph Convolutional Network; Markerless Motion Capture; Multi-Modal.Abstract
With the development and construction of urbanization in the country, the scale of the city has expanded; meanwhile, the problem of urban traffic congestion is becoming increasingly severe. To ensure the efficient operation and stable development of society, it’s necessary to use AI-assisted drones in motion capture of violations by motor vehicles and voice display. AI assists drones in motion capture can reduce traffic congestion to a certain extent, thereby minimizing the economic losses caused by traffic problems. The article conducts research and analysis the principles and function of the gesture recognition algorithm of neural networks and spatiotemporal convolution network algorithm At the same time, in combination with the small body and mass characteristics of drones, this paper analyzes the application feasibility of artificial intelligence technology in assisting drones with motion capture, and also analyzes the development trend of artificial intelligence technology in assisting drones with motion capture and application.
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