POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II(2016)

引用 519|浏览162
暂无评分
摘要
Detection and learning based appearance feature play the central role in data association based multiple object tracking (MOT), but most recent MOT works usually ignore them and only focus on the hand-crafted feature and association algorithms. In this paper, we explore the high-performance detection and deep learning based appearance feature, and show that they lead to significantly better MOT results in both online and offline setting. We make our detection and appearance feature publicly available. In the following part, we first summarize the detection and appearance feature, and then introduce our tracker named Person of Interest (POI), which has both online and offline version.
更多
查看译文
关键词
Detection Response,Data Association,Appearance Feature,Affinity Matrix,Multiple Object Tracking
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要