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Siam R-CNN: Visual Tracking by Re-Detection
[article]
2020
arXiv
pre-print
We present Siam R-CNN, a Siamese re-detection architecture which unleashes the full power of two-stage object detection approaches for visual object tracking. We combine this with a novel tracklet-based dynamic programming algorithm, which takes advantage of re-detections of both the first-frame template and previous-frame predictions, to model the full history of both the object to be tracked and potential distractor objects. This enables our approach to make better tracking decisions, as well
arXiv:1911.12836v2
fatcat:alfpbtovnnaergxyha77o3qz2u