DrivFace Data Set
Download: Data Folder, Data Set Description
Abstract: The DrivFace contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640×480, acquired over different days from 4 drivers with several facial features.
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Data Set Characteristics: |
Multivariate |
Number of Instances: |
606 |
Area: |
Computer |
Attribute Characteristics: |
Real |
Number of Attributes: |
6400 |
Date Donated |
2016-05-26 |
Associated Tasks: |
Classification, Regression, Clustering |
Missing Values? |
N/A |
Number of Web Hits: |
61261 |
Source:
Katerine Diaz-Chito*
Aura Hernández-Sabaté
Antonio M. López
Centre de Visió per Computador
Universitat Autónoma de Barcelona
*Corresponding author:{kdiaz '@' cvc.uab.es}
Data Set Information:
The DrivFace database contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640×480 pixels each, acquired over different days from 4 drivers (2 women and 2 men) with several facial features like glasses and beard.
Additional files:
drivFace.mat contains the dataset in Matlab (under prtools library) with the driver faces normalised to 80x80 pixels each and their associated gaze direction labels “looking-rightâ€, “frontal†and “looking-leftâ€.
Attribute Information:
The ground truth contains the annotation of the face bounding box and the facial key points (eyes, nose and mouth).
A set of labels assigning each image into 3 possible gaze direction classes are given.
The first class is the “looking-right†class and contains the head angles between -45º and -30º.
The second one is the “frontal†class and contains the head angles between -15º and 15º.
The last one is the “looking-left†class and contains the head angles between 30º and 45º.
Files and scripts
• DrivImages.zip has the driver images. The imag's name has the format:
* YearMonthDay_subject_Driv_imNum_HeadPose.jpg
i.e. 20130529_01_Driv_011_f .jpg is a frame of the fisrts driver corresponding to the 11 sequence's image and the head pose is frontal.
subject = [1:4], imNum = [001:...], HeadPose = lr (looking-right), f (frontal) and lf (looking-left).
• drivPoints.txt contains the ground truth in table's format, where the columns have the follow information:
* fileName is the imagen's name into DrivImages.zip
* subject = [1:4]
* imgNum = int
* label = [1/2/3] (head pose class that corresponding to [lr/f/lf], respectively)
* ang = [-45, -30/ -15 0 15/ 30 15] (head pose angle)
* [xF yF wF hF] = face position
* [xRE yRE] = rigth eye position
* [xLE yL] = left eye position
* [xN yN] = Nose position
* [xRM yRM] = rigth corner of mouth
* [xLM yLM] = left corner of mouth
• read_drivPoints.m is a Matlab function to read the drivPoints file. You can also use:
* Table = readtable('drivPoints.txt');
• drivFace.mat contains the dataset in Matlab (under prtools library) with the driver faces normalised to 80x80 pixels each and their associated gaze direction labels “looking-rightâ€, “frontal†and “looking-leftâ€.
Relevant Papers:
Katerine Diaz-Chito, Aura Hernández-Sabaté, Antonio M. López, A reduced feature set for driver head pose estimation, Applied Soft Computing, Volume 45, August 2016, Pages 98-107, ISSN 1568-4946,
Citation Request:
Katerine Diaz-Chito, Aura Hernández-Sabaté, Antonio M. López, A reduced feature set for driver head pose estimation, Applied Soft Computing, Volume 45, August 2016, Pages 98-107, ISSN 1568-4946,
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