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This papers presents a view of human motion analysis from the viewpoint of data fusion. JDL process model and Dasarathy's input-output hierarchy are employed to ...
A single camera has a very limited coverage. Multiple cameras are needed to cover full scenes. Data Fusion studies the efficient combination of measurements ...
A view of human motion analysis from the viewpoint of data fusion is presented and JDL process model and Dasarathy's input-output hierarchy are employed to ...
This papers presents a view of human motion analysis from the viewpoint of data fusion. JDL process model and Dasarathy's input-output hierarchy are employed to ...
In this paper, a multisensor data fusion system for object tracking is presented. It is able to track in real-time multiple targets in outdoor environments. The ...
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The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, ...
In this study, we address these challenges by exploring the benefits of a low-level sensor fusion approach that combines grayscale and neuromorphic vision ...
Oct 22, 2024 · This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple ...
This paper emphasizes on a novel technique of using five Kinect V2 sensors (four clients and one server) and data fusion methods to create unified skeletons ...
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May 7, 2020 · To this end, the WP uses a low-resolution camera to track two points of reference; specifically two Infrared (IR) LEDs embedded in the wall.