Object tracking using a convolutional network and a structured output SVM

• 作 者: Junwei Li Xiaolong Zhou Sixian Chan Shengyong Chen
• 机 构: Zhejiang University of Technology, Hangzhou, 310023,China;Tianjin University of Technology, Tianjin,
• 出 处: Computational Visual Media
• 发表日期: 2017年04期
• 关键词: object tracking convolutional network structured learning feature extraction

Object tracking has been a challenge in computer vision. In this paper, we present a novel method to model target appearance and combine it with structured output learning for robust online tracking within a tracking-by-detection framework.We take both