Gait 3 Database

Gait 3 Database

A tri-modal data base for gait recognition



Gait 3 is a tri-modal: Event-based, RGB, and Thermal database for gait recognition (Identifying people by analysis of the way they walk). This database is the first that contains event-camera acquisition, simultaneously with conventional RGB and thermal videos.

The database was collected from 56 subjects and contains recordings of people in three variations: normal walking, quick walking, and walking with a backpack. For each variation, the subject is recorded twice, walking from left to right and walking from right to left.

For privacy purposes, faces in RGB recordings are blurred.



Gait is an emergent biometric aimed essentially to recognize people by the way they walk, We people often feel that they can identify a familiar person from a distance simply by recognizing the way the person walks.

A unique advantage of gait is that it is non-invasive. It does not require the person’s cooperation and offers potential for recognition at a distance, at low resolution, or when other biometrics might not be perceivable.

It received lots of interest over the last twenty years, and it has seen considerable progress using different kinds of sensors. In our work, we decided to use a new sensor called an event-based camera.

Event-based Camera

Event cameras are a new family of vision sensors that differ completely from conventional cameras: instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes and output the event stream as a sequence of tuples [t, x, y, p] that encode the time t, pixel coordinates (x, y) and p the sign of the brightness changes.

Recording setup

The database is recorded using 2 cameras and a laptop. The DAVIS346 [1], [9], is used to record events. Its resolution is 346 × 260. For each event [t, x, y, p], x ∈ [0, 345] and y ∈ [0, 259] and the data is saved with the DV software. The RGB and thermal recordings were acquired with the dual sensor, visible and thermal, camera FLIR Duo R developed by FLIR Systems. The visible sensor is a CCD sensor with a pixel resolution of 1920 × 1080. The thermal sensor of this camera is an uncooled VOx microbolometer and has a pixel resolution of 640 × 512. Figure below shows the two cameras used in the database collection.



The data collection took place in a controlled environment. Videos were recorded in an empty room equipped with two lightings in addition to the room lights. The cameras were put about 1 meter from the ground and facing perpendicularly to the background (the wall of the room) at about 6 meters from it. Figure below shows an example of an individual from our database, recorded simultaneously with an event-based camera, RGB camera, and thermal camera.



A download link for the database compressed and a password for decrypting the compressed Gait3 ZIP files will be provided after receiving the duly signed license agreement. Please fill in the license agreement and send a scanned copy by e-mail at

Reference Bibtex

@inproceedings{eddine2022gait3, title={GAIT3: An Event-based, Visible and Thermal Database for Gait Recognition}, author={Eddine, Mohamed Jamel and Dugelay, Jean-Luc}, booktitle={2022 International Conference of the Biometrics Special Interest Group (BIOSIG)}, pages={1–5}, year={2022}, organization={IEEE} }



If you have any question or request regarding the Gait 3 Database, please contact Prof. Jean-Luc DUGELAY via