Object Tracking Based on Stable Feature Mining Using Intraframe Clustering and Interframe Association

• Main Authors: Lu, Hong, Gu, Ke, Lin, Weisi, Zhang, Wenjun
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Object Tracking; Stable Features Mining
• Online Access: https://hdl.handle.net/10356/87057; http://hdl.handle.net/10220/44299
• Institution: Nanyang Technological University

Extracting stable features to enhance object representation has proved to be very effective in improving the performance of object tracking. To achieve this, mining techniques, such as K-means clustering and data associating, are often adopted. However, K-means clustering needs the pre-set number of...