ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Guangxi Normal University · Wuzhou University · +1 more institution
Abstract
Online contextual reasoning and association across consecutive video frames are critical to perceive instances in visual tracking. However, most current top-performing trackers persistently lean on sparse temporal relationships between reference and search frames via an offline mode. Consequently, they can only interact independently within each image-pair and establish limited temporal correlations. To alleviate the above problem, we propose a simple, flexible and effective video-level tracking pipeline, named ODTrack, which densely associates the contextual relationships of video frames in an online token propagation manner. ODTrack receives video frames of arbitrary length to capture the spatio-temporal…
Citation impact
- FWCI
- 15.07
- Percentile
- 100%
- References
- 73
Authors
6Topics & keywords
- Tracking (education)
- Computer science
- Security token
- Online learning
- Eye tracking
- Artificial intelligence
- Computer vision
- Psychology
- Reduced inequalities