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Virtual markers enable highly accurate multi-animal pose tracking in crowded environments
Studying the social behavior of animals in their natural environments is necessary for advancing our understanding of neurological processes. To achieve this, tracking multiple individuals ...
Three-dimensional object tracking and pose estimation represent a pivotal area of research in computer vision, with applications ranging from augmented reality to autonomous navigation and robotics.
Conventional markerless tracking methods struggle with body part misestimations or missing estimates in crowded spaces. In vmTracking, markerless multi-animal tracking is performed on a video ...
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A new wristband device developed by researchers at Cornell University utilizes AI and inaudible soundwaves to detect hand positions and interactions with objects. The device, called EchoWrist, has ...
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