Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

• Main Authors: LI, Yang, ZHU, Jianke, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: visual object tracking; machine learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2927; https://ink.library.smu.edu.sg/context/sis_research/article/3927/viewcontent/Li_Reliable_Patch_Trackers_2015_CVPR_paper.pdf
• Institution: Singapore Management University

Most modern trackers typically employ a bounding box given in the first frame to track visual objects, where their tracking results are often sensitive to the initialization. In this paper, we propose a new tracking method, Reliable Patch Trackers (RPT), which attempts to identify and exploit the re...