  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.
