Fast Person Search Pipeline

In this work, we study the person search problem, which incorporates both person detection and person re-identification. The high time consumption of person search system obstructs the development of this field in practice. For the purpose of real-time person search, we analyze the bottleneck of the person search task and therefore develop a more efficient method called the Fast Person Search Pipeline (FPSP), consisting of a multi-scale person detector as well as a part-based person re-identification descriptor. Extensive experiments show that our proposed method FPSP can accomplish the person search task approximately FIVE times faster than the state-of-the-art methods while achieving a competitive accuracy.