A 1000 People Gait Recognition Database

Data:2015-09-15

A 1000 people gait recognition database has been released. It covered 1000 people (1:1 gender distribution) with the age from 4 to 85 where 20% of the participants are above 60-year-old.

Gait recognition database was collected by 24 Hikvision cameras in outdoor environment. 1000 participants with their normal walking posture was recorded by these cameras. Each participant is asked to walk 48 times with 3 sets of outfits (one is normal, one with a coat and the other one with a bag). The resolution ratio is 1920*1080@25fps and the format is MP4.

Detailed information regarding the corpus is listed below:

 

 

Scene

Walking direction

(0°/45°)

Shooting angle

Walking

Pause

 

Sequence

 

Attire

 

Total walking number

Total camera number

Static and simple

2

4*2

(overlook + eye level)

2

0

2

3

12

8 (1 for global ReID)

Static and complex

2

4*2 (overlook + eye level)

2

0

2

3

12

8 (1 for global ReID)

Static and complex

2

4*2

(overlook + eye level)

2

2

2

3

24

8 (1 for global ReID)

During the database design and collection process, we have formed an efficient team with high standard capabilities. This leads to the synchronization rate of the 8 cameras is above 95%.

This database can be used for training and testing the identify recognition system, as well as face analysis. It has been well-acknowledged by industry as a database with high speech quality and recognition accuracy.


 

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