This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Chapters 1 to 6 introduce readers to tracking methods based on online learning algorithms, including sparse representation, dictionary learning, hashing codes, local model, and model fusion.