Visual Object Tracking
152 papers with code • 21 benchmarks • 26 datasets
Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.
Benchmarks
These leaderboards are used to track progress in Visual Object Tracking
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
Libraries
Use these libraries to find Visual Object Tracking models and implementations
OTB
LaSOT
GOT-10k
TrackingNet
YouTube-VOS 2018
OTB-2015
VOT2018
VOT2016
OTB-2013
VOT2017
Most implemented papers
Fast Video Object Segmentation by Reference-Guided Mask Propagation
seoungwugoh/RGMP
•
•
CVPR 2018
We validate our method on four benchmark sets that cover single and multiple object segmentation.
Learning Discriminative Model Prediction for Tracking
visionml/pytracking
•
•
ICCV 2019
The current strive towards end-to-end trainable computer vision systems imposes major challenges for the task of visual tracking.
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
To the best of our knowledge, this is the first paper to propose an online human pose tracking framework in a top-down fashion.
Tracking Holistic Object Representations
xl-sr/THOR
•
•
The framework leverages the idea of obtaining additional object templates during the tracking process.
GradNet: Gradient-Guided Network for Visual Object Tracking
LPXTT/GradNet-Pytorch
•
•
ICCV 2019
In this work, we propose a novel gradient-guided network to exploit the discriminative information in gradients and update the template in the siamese network through feed-forward and backward operations.
High-Performance Long-Term Tracking with Meta-Updater
Most top-ranked long-term trackers adopt the offline-trained Siamese architectures, thus, they cannot benefit from great progress of short-term trackers with online update.
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee
For visual object tracking, it is difficult to realize an almighty online tracker due to the huge variations of target appearance depending on an image sequence.
Multi-modal Visual Tracking: Review and Experimental Comparison
Visual object tracking, as a fundamental task in computer vision, has drawn much attention in recent years.
Rotation Equivariant Siamese Networks for Tracking
We further show that this change in orientation can be used to impose an additional motion constraint in Siamese tracking through imposing restriction on the change in orientation between two consecutive frames.
