An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

A large-scale benchmark dataset for color-event based visual tracking

Motion capture arena using only Raspberry Pi and open source libraries

[WACV 2024] Separable Self and Mixed Attention Transformers for Efficient Object Tracking

A Python implementation of "Exploiting the Circulant Structure of Tracking-by-Detection with Kernels"

[BMVC 2023] Mobile Vision Transformer-based Visual Object Tracking

Exploring through 7 popular datasets for visual object tracking, including OTB, UAV, VOT, LaSOT, NFS, TrackingNet and GOT-10k.

A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.

Modifications to improve single object tracking in 360° equirectangular videos.

Official code of "AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee"

MATLAB code for BACF object tracker

Official code repository to download the TREK-150 benchmark dataset and run experiments on it.

A visual object tracking paper list, articles related to visual object tracking have been documented.

Noise Aware OSTrack

[BMVC 2023] READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation

Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning

This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the fe…

A collection of repos in object tracking