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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.
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.
C++ implementation of "Mobile Vision Transformer-based Visual Object Tracking" (BMVC2023) and "Separable Self and Mixed Attention Transformers for Efficient Object Tracking" (WACV2024)