Datasets > Modality > Videos > TSU (Toyota Smarthome Untrimmed)

TSU (Toyota Smarthome Untrimmed)

Introduced by Dai et al. in Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection

Toyota Smarthome Untrimmed (TSU) is a dataset for activity detection in long untrimmed videos. The dataset contains 536 videos with an average duration of 21 mins. Since this dataset is based on the same footage video as Toyota Smarthome Trimmed version, it features the same challenges and introduces additional ones. The dataset is annotated with 51 activities.

The dataset has been recorded in an apartment equipped with 7 Kinect v1 cameras. It contains common daily living activities of 18 subjects. The subjects are senior people in the age range 60-80 years old. The dataset has a resolution of 640×480 and offers 3 modalities: RGB + Depth + 3D Skeleton. The 3D skeleton joints were extracted from RGB. For privacy-preserving reasons, the face of the subjects is blurred.

Source: Toyota Smarthome

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