JTA (Joint Track Auto)
Introduced by Fabbri et al. in Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame. It is up to now the vastest dataset (about 500.000 frames, almost 10 million body poses) of human body parts for people tracking in urban scenarios.
Source: Learning to Detect and Track Visible and Occluded Body Joints in a Virtual WorldBenchmarks
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JTA
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Dual network
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Papers
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