关键词: 行人搜索, 一步法, 端到端, 计算机视觉, transformer

Abstract: Abstract: Person search is one of the important research directions in the field of computer vision. Its research goal is to detect and identify characters in unarmed image libraries. Although there are already a large number of algorithm research on person search algorithms, summary research is still insufficient. In order to deeply understand the person search algorithm, a large number of related literature summarized and analyzed. First of all, according to the different network structure, the person search is divided into two categories: one is a two -step method, and the other is based on the end -to -end step method. The key technologies of the one -step method are analyzed and the characteristic learning and measurement learning Introduction; further introduce the data sets and evaluation indicators in the field of person search, and compare the performance and analysis of the mainstream algorithm; although the experimental results have achieved good performance, most of the methods have a high calculation cost, and It takes a long time, and the one -step method can solve the two sub -tasks in the more efficient learning framework, which is better. Finally, the person search algorithm is summarized and discussed the future development direction.

Key words: person search, one-step, end-to-end, computer vision, transformer