Person Re-identification on Mobile Devices Based on Deep Learning

Miaomiao Zhu, Shengrong Gong, Zhenjiang Qian, Lifeng Zhang
2020 Proceedings of The 8th IIAE International Conference on Industrial Application Engineering 2020   unpublished
Person re-identification, as an important supplement to face recognition, refers to a network of cameras with nonoverlapping vision domains. With computer vision technology it can solve the cross-camera and cross-scene pedestrian recognition and retrieval, determining whether there is a specific pedestrian to be detected in the image or video sequence. At present, many person re-identification researches are mainly carried out through experimental verification and evaluation on large person
more » ... dentification datasets such as Market-1501, DukeMTMC-reID, MSMT17, and CUHK03. In this paper, based on the existing deep learning person reidentification research and combining with the actual application scenarios on the premise of analyzing the technical feasibility, we propose a complete process for person reidentification with mobile devices, which aims to combine pedestrian detection with person re-identification to perform real-time pedestrian detection and query. In this process, not only the features extracted by pedestrians can be reused, but also the research on person re-identification can be applied effectively, such as tracking criminals and searching for missing children.
doi:10.12792/iciae2020.044 fatcat:6pkgcxtwwrdyvpjlthghhx773u