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Found 2 papers, 1 papers with code
Large Scale Real-World Multi-Person Tracking
This paper presents a new large scale multi-person tracking dataset -- \texttt{PersonPath22}, which is over an order of magnitude larger than currently available high quality multi-object tracking datasets such as MOT17, HiEve, and MOT20 datasets.
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Multi-Object Tracking
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Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep Learning
A central aspect is unsupervised learning of posture and behaviour representations to enable an objective comparison of movement.
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