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3,903 People - Gait Recognition Data 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

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.

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SpecificationsSpecifications
Data size
3,903 people
Population distribution
gender distribution: 1,975 males, 1,928 females; race distribution: Asian; age distribution: 318 people under 18 years old, 2,740 people aged from 18 to 45 years old,  519 people aged from 46 to 60 years old, 326 people over 60 years old
Collecting environment
3,449 people in indoor scenes, 454 people in outdoor scenes
Data diversity
multiple age groups, multiple time periods, multiple scenes, different camera angles, different seasonal clothes, different walk speed
Device
surveillance camera, the image resolution is 1,920x1,080
Collecting time
3,851 people were collected during the day, 52 people were collected at night
Data format
the video data format is .mp4
Collection content
collecting the gait videos from different surveillance cameras
Accuracy
according to the accuracy of the collection content, the accuracy is not less than 95%; the accuracy of label annotation is not less than 95%
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
100 People - Gait Recognition Data

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.

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