TUM Kitchen dataset

date accessed(2015)

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摘要
The TUM Kitchen Data Set was recorded by the Intelligent Autonomous Systems Group of Prof. Michael Beetz at the Technische Universität München, Munich, Germany. It currently contains observations of several subjects setting a table in different ways. Some perform the activity like a robot would do, transporting the items one-by-one, other subjects behave more natural and grasp as many objects as they can at once. The data set consists of video recordings from four cameras, human fullbody motion capture data, readings from sensors embedded in the environment, as well as” ground truth “action labels.While containing more complex actions than many of today’s action recognition data sets, the data is still rather structured. All subjects perform the same activity, including the same objects and locations. Variations include different order of actions, different distribution of tasks between the left and the right hand …
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