EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

Abstract

Figure 1. A sample video from the proposed EgoTracks dataset, with yellow segments of the clip marking when the object (blowtorch) is visible. Note the frequent disappearances and reappearances of the object over an 8 minute video, with lengthy absences, necessitating re-detection to track accurately without false positives. The egocentric nature of the video includes the camera-wearer interacting with the object (Occurrence 2), resulting in significant hand occlusions and dramatic changes in pose.