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This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
#5 best model for Pose Tracking on PoseTrack2017 (using extra training data)
In this paper, we propose an MOT system that allows target detection and appearance embedding to be learned in a shared model.
SOTA for Multi-Object Tracking on MOT16 (using extra training data)
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new data and creating a framework for the standardized evaluation of multiple object tracking methods.
Multi-object tracking (MOT) is an important and practical task related to both surveillance systems and moving camera applications, such as autonomous driving and robotic vision.
This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios.