文件名称：Video Tracking -- Theory and Practice
文件大小：7.41MB
文件格式：PDF
更新时间：2014-03-14 08:20:40
Video Tracking
Video Tracking -- Theory and Practice Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras. Starting from the general problem definition and a review of existing and emerging video tracking applications, the book discusses popular methods, such as those based on correlation and gradient-descent. Using practical examples, the reader is introduced to the advantages and limitations of deterministic approaches, and is then guided toward more advanced video tracking solutions, such as those based on the Bayes’ recursive framework and on Random Finite Sets.