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100 People - Gait Recognition Data

surveillance scenes
gait recognition
multiple age groups
multiple time periods
5 kinds of scenes
3 kinds of garments
different shooting angles
binarization processing

100 People - Gait Recognition Data. The collecting scenes of this dataset include indoor scenes (exhibition hall, front desk), outdoor scenes (square, gate of the company) . The data diversity includes multiple age groups, multiple time periods, 5 kinds of scenes, 3 kinds of garments, different shooting angles. For annotation, the binarization processing was adopted for the image frames. The data can be used for tasks such as gait recognition in surveillance scenes.

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SpecificationsSpecifications
Data size
100 people
Population distribution
gender distribution: 24 males, 76 females; race distribution: Asian; age distribution: 12 people under 18 years old, 38 people aged from 18 to 30, 15 people aged from 31 to 45, 27 people aged from 46 to 60, 8 people over 60 years old
Collecting environment
indoor scenes (exhibition hall, front desk), outdoor scenes (square, gate of the company)
Data diversity
multiple age groups, multiple time periods, 5 kinds of scenes, 3 kinds of garments, different shooting angles
Device
surveillance camera, the image resolution is 1,920x1,080
Collecting time
day, night
Data format
the video data format is .avi, the image data format is .jpg
Collection content
collecting the gait videos from different surveillance cameras
Annotation content
the binarization processing was adopted for the image frames
Accuracy
the accuracy of label annotation is not less than 95%
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
3,903 People - Gait Recognition Data in Surveillance Scenes

3,903 People - Gait Recognition Data in Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed. The data can be used for tasks such as gait recognition in surveillance scenes.

Gait recognition indoor scenes outdoor scenes multiple age groups multiple time periods multiple scenes different camera angles different seasonal clothes different walk speed
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