Robust tracking with discriminative ranking middle-level patches

• Main Authors: LIU, Hong, LIANG, Zilin, SUN, Qianru
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Middle-level Patches; Selective Feature Attention; Random Forests; Tracking-by-detection; Computer and Systems Architecture; Computer Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4455; https://ink.library.smu.edu.sg/context/sis_research/article/5458/viewcontent/58430__1_.pdf
• Institution: Singapore Management University

The appearance model has been shown to be essential for robust visual tracking since it is the basic criterion to locating targets in video sequences. Though existing tracking-by-detection algorithms have shown to be greatly promising, they still suffer from the drift problem, which is caused by upd...