Computer vision

Our team is involved in the research collaborations that involve many classical Computer Vision applications. Our actuation mainly concern image and video processing for surveillance, digital forensics and biometrics with focus on detection, classification, and spatio-temporal feature encoding.

Some relevant work in this topic are:

A. Ferreira, L. Bondi, L. Baroffio, P. Bestagni, J. Huang, J. A. dos Santos, S. Tubaro and A. Rocha . Data-Driven Feature Characterization Techniques for Laser Printer Attribution. IEEE Transactions on Information Forensics and Security (TIFS). Volume 12, number 8. Pages 1860-1873, 2017.
C; Caetano, J. A. dos Santos, W. R. Schwartz. Optical Flow Co-occurrence Matrices: A novel spatiotemporal feature descriptor. In: 23rd International Conference on Pattern Recognition (ICPR), 2016. p. 1947.
A. Ferreira, S. Felipussi, C. Alfaro, P. Fonseca, J. E. Vargas-Munoz, J. A. dos Santos and A. Rocha. Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection. IEEE Transactions on Image Processing (TIP). Volume 25, number 10. Pages 4729-4742. 2016.