Face Recognition Technology for Law Enforcement Applications

摘要

The goal of the report is to relate existing face recognition technology to law enforcement applications. These applications range from static matching of controlled photographs as in mugshot matching to surveillance video images and have different constraints in terms of complexity of processing requirements and thus present a wide range of different technical challenges. The ongoing research activities have been given a renewed emphasis over the last five years. The existing techniques and systems have been tested on different sets of images of varying complexities. Also, very little synergism exists between studies in psychophysics and the engineering literature. Most importantly, there exist no evaluation or benchmarking studies using large databases with the image quality that arises in law enforcement applications.