A Survey on Visual Object Tracking Algorithms

Due to the increasing demand of a faster and more reliable target tracking ability specifically for some critical applications such as military navigation and Robotics, using prediction and estimation concepts have been comprehensively studied. As a result of this demand, old and modern estimation algorithms based on probabilistic Baysian algorithms have been employed. In the case of visual object tracking much work has been done to design new algorithms by mixing modern target tracking algorithms with older object detection algorithms of vision. In this survey the development of target tracking algorithms has been studied more extensively with providing a few examples of estimation-based-modified-vision-algorithms. A literature survey is given on the evolution of the Beysian tracking algorithms such as various types of Kalman filtering, Particle filtering and finally Multiple-Model.