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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.

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:

44178


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-right”, “frontal” and “looking-left”.


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-right”, “frontal” and “looking-left”.


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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