3260 papers • 126 benchmarks • 313 datasets
Joint multi-person pose estimation and tracking following the PoseTrack benchmark. https://posetrack.net/ ( Image credit: PoseTrack )
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This article presents AlphaPose, a system that can perform accurate whole-body pose estimation and tracking jointly while running in realtime, and proposes several new techniques: Symmetric Integral Keypoint Regression (SIKR) for fast and fine localization, Parametric Pose Non-Maximum-Suppression (P-NMS) for eliminating redundant human detections and Pose Aware Identity Embedding for jointly posing and tracking.
This work proposes a novel method that jointly models multi-person pose estimation and tracking in a single formulation and introduces a challenging Multi-Person PoseTrack dataset, and proposes a completely unconstrained evaluation protocol that does not make any assumptions about the scale, size, location or the number of persons.
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