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There has been remarkable progress on object detection and re-identification in recent years which are the core components for multi-object tracking.
SOTA for Multi-Object Tracking on MOT16 (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.
#2 best model for Multi-Object Tracking on MOT16 (using extra training data)
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)
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
#2 best model for Online Multi-Object Tracking on MOT16
In this paper, we bridge this gap by proposing a differentiable proxy of MOTA and MOTP, which we combine in a loss function suitable for end-to-end training of deep multi-object trackers.
SOTA for Multi-Object Tracking on 2D MOT 2015
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.
#3 best model for Multi-Object Tracking on MOT17