Shortest Distance-based Initial Window Determination for Mobile Object Tracking Systems

• Main Authors: Trinh Tran Thai Sang, 鄭陳泰創
• Other Authors: Feng, Kai-Ten
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/ef8km6

碩士 === 國立交通大學 === 電機資訊國際學程 === 105 === Mobile object tracking is an interesting topic in computer vision. Many applications have been developed in many domains, i.e. surveillance tracking systems, augmented reality, etc. In this work, we adopt mean shift tracking scheme with the pattern recognition to carry out localized search on an image frame. However, the mean shift does not know the initial location of the object which is so called search window. We aim to overcome this limitation by giving mean shift the determination of the search window’s location. Besides, to make the location of the search window accurate enough, we also improve the feature matching by adding a shortest distance method. The efficiency of our proposed approach is demonstrated through various experimental results.