Explore recent advancements in online object tracking through this comprehensive guest lecture by Dr. Ming-Hsuan Yang at the University of Central Florida. Delve into various tracking approaches, including sparsity-based classifiers, discriminative models, and occlusion handling techniques. Examine the collaborative model, qualitative and quantitative evaluations, and tracking by detection methods. Learn about compressive tracking, Gaussian PDF assumptions, and experimental results. Gain insights into evaluation issues, methodologies, and datasets used in tracking algorithms. Discover temporal robustness evaluation techniques and one-pass evaluation methods for low-resolution scenarios.