Conference Proceedings


Suzanne Little
Owen Corrigan


Computer Science

data information semantic indexing surveillance police clothing image processing machine learning law enforcement

Fashion police: towards semantic indexing of clothing information In surveillance data (2018)

Abstract Indexing and retrieval of clothing based on style, similarity and colour has been extensively studied in the field of fashion with good results. However, retrieval of real-world clothing examples based on witness descriptions is of great interest in for security and law enforcement applications. Manually searching databases or CCTV footage to identify matching examples is time consuming and ineffective. Therefore we propose using machine learning to automatically index video footage based on general clothing types and evaluate the performance using existing public datasets. The challenge is that these datasets are highly sanitised with clean backgrounds and front-facing examples and are insufficient for training detectors and classifiers for real-world video footage. In this paper we highlight the deficiencies of using these datasets for security applications and propose a methodology for collecting a new dataset, as well as examining several ethical issues.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics

Full list of authors on original publication

Suzanne Little, Owen Corrigan

Experts in our system

Suzanne Little
Dublin City University
Total Publications: 36
Owen Corrigan
Dublin City University
Total Publications: 9