LTFT (Long-Term Face Tracking)

Dataset originally conceived for multi-face tracking/detection for highly crowded scenarios. In these scenarios, the face is the only part that can be used to track the individuals.

All our videos present novel crowd scenes recorded at near-eye level, where faces are visible enough to be analysed at the microscopic level, while also benefiting from a macroscopic view of the crowd. It includes:

• Face detections of 715 unique subjects along with instructions to download the synchronized video.

• More than 75k face detections annotated.

• A density ranging from 3 to 13 people/frame.

• 6 indoor and 4 outdoor videos. 8/10 videos are totally unconstrained, 2/10 feature 3 re-appearances per subject.

Our dataset may be useful for:

• Face tracking, especially relevant for crowded scenarios (typically from video-surveillance cameras).

• Heavily occluded body tracking (in many videos, only the face is mostly visible).

• Face recognition.

• Face detection for partially occluded faces.