ABSTRACT
The field of markerless image tracking has been gaining popularity in many application areas. ese include attempts in elds such as movement tracking (Dai and Payandeh 2013), statistical-based tracking for visual servoing (Marchand et al. 2005), and in extensions to principal component analysis for learning-based tracking (Ross et al. 2008). Each of these algorithms is designed and tailored in order to satisfy the requirements and constraints associated with the properties of the tracked objects and the environments in which they are being tracked. is chapter presents studies in the eld of markerless visual tracking of surgical tools in the minimally invasive surgery (MIS) environment.
