Multi-Object Tracking with Hallucinated and Unlabeled Videos

no code implementations • 19 Aug 2021 • Daniel McKee, Bing Shuai, Andrew Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe

Next, to tackle harder tracking cases, we mine hard examples across an unlabeled pool of real videos with a tracker trained on our hallucinated video data.

Multi-Object Tracking

Combining detection and tracking for human pose estimation in videos

no code implementations • CVPR 2020 • Manchen Wang, Joseph Tighe, Davide Modolo

Our approach consists of three components: (i) a Clip Tracking Network that performs body joint detection and tracking simultaneously on small video clips; (ii) a Video Tracking Pipeline that merges the fixed-length tracklets produced by the Clip Tracking Network to arbitrary length tracks; and (iii) a Spatial-Temporal Merging procedure that refines the joint locations based on spatial and temporal smoothing terms.

Pose Estimation Pose Tracking