figshare
Browse
VIDEO
Vie_0004_frame_0001722.avi (15.81 MB)
VIDEO
Vie_0002_frame_0000841.avi (20.65 MB)
VIDEO
Vie_0004_frame_0000524.avi (17.15 MB)
VIDEO
Vie_0004_frame_0001238.avi (19.55 MB)
VIDEO
Vie_0000_frame_0004688.avi (23.79 MB)
VIDEO
Vie_0000_frame_0005330.avi (22.57 MB)
VIDEO
Vie_0000_frame_0001806.avi (32.36 MB)
VIDEO
Vie_0000_frame_0000830.avi (206.06 MB)
VIDEO
Tok_0000_frame_0001264.avi (18.64 MB)
VIDEO
Tok_0000_frame_0001399.avi (28.9 MB)
VIDEO
Tok_0000_frame_0002003.avi (29.7 MB)
VIDEO
Tok_0000_frame_0002705.avi (13.02 MB)
VIDEO
Tok_0000_frame_0004334.avi (20.89 MB)
VIDEO
Tok_0000_frame_0004629.avi (37.23 MB)
VIDEO
Tok_0000_frame_0004716.avi (24.27 MB)
VIDEO
Tok_0000_frame_0006419.avi (14.83 MB)
VIDEO
Tok_0001_frame_0001526.avi (33.57 MB)
VIDEO
Tok_0003_frame_0000069.avi (19.57 MB)
VIDEO
Tok_0003_frame_0000175.avi (14.99 MB)
VIDEO
Tok_0003_frame_0001793.avi (38.74 MB)
1/0
693 files

PONE-D-18-34216 Walker synchronization

dataset
posted on 2019-05-23, 21:38 authored by Claire ChambersClaire Chambers, Kunlin WeiKunlin Wei, Gaiqing Kong, Konrad Paul Kording
Videos of pairs of people walking in cities (.avi files) with pose estimates in image coordinates (.pkl files)

Video files are provided for videos that have a Creative Commons license. URLs for all videos are provided in file S1.csv.

Walker data files (Python .pkl files) contain pose estimates from each frame in image coordinates
Python .pkl files contain columns with information for each frame of the video file.

Legend for .pkl files

Column : data

frame : video frame index

person : walker index with separate label for each walker belonging to the pair

part : body part index of key point with separate labels for each body part (Neck: 1, Right ankle: 10, Left ankle: 13, Right ear: 16, Left ear: 17 )

x: x coordinates of key point in pixel units

y: y coordinates of key point in pixel units

c: confidence level for key point

History