Single Object Tracking

Single object tracking (SOT) aims to accurately locate a specific object within a video sequence across multiple frames. Current research emphasizes improving robustness and efficiency, focusing on transformer-based architectures, Siamese networks, and multi-modal approaches that integrate data from RGB cameras, event cameras, LiDAR, and thermal sensors. These advancements are crucial for applications in autonomous driving, robotics, augmented reality, and video surveillance, driving progress in both algorithmic design and benchmark dataset development.