Long Term Tracking

Long-term tracking aims to maintain continuous observation of objects or events over extended periods, overcoming challenges like occlusions, out-of-view situations, and significant appearance changes. Current research focuses on developing robust algorithms, often employing transformer networks, graph-based methods, and multi-task learning approaches, to improve accuracy and efficiency across diverse applications. These advancements are crucial for various fields, including healthcare (monitoring patient health via wearables), computer vision (object tracking in videos), and medical imaging (analyzing organ changes over time), enabling more accurate analysis and improved decision-making.