Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.
In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach.
#3 best model for Visual Object Tracking on YouTube-VOS
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
During the off-line training phase, an effective sampling strategy is introduced to control this distribution and make the model focus on the semantic distractors.
#9 best model for Visual Object Tracking on VOT2017/18
Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.
#5 best model for Visual Object Tracking on VOT2017/18
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
#4 best model for Pose Tracking on PoseTrack2017 (using extra training data)
To the best of our knowledge, this is the first paper to propose an online human pose tracking framework in a top-down fashion.
SOTA for Pose Tracking on PoseTrack2017 (using extra training data)