Info

Research Interests

F. Naiser, M. Šmíd and J. Matas. Tracking and Re-Identification System for Multiple Laboratory Animals, in VAIB workshop at ICPR, 2018. [pdf] [html]
Č. Albl, Z. Kúkelová, A. Fitzgibbon, J. Heller, M. Šmíd and T. Pajdla, On the Two-View Geometry of Unsynchronized Cameras, in CVPR, 2017. [arxiv] [pdf] [html]
M. Šmíd and J. Matas, Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy, in VISAPP, 2017. [pdf] [epub] [slides] [offline slides] [project]
M. Dorfer, T. Kazmar, M. Šmíd, S. Sing, J. Kneißl, S. Keller, O. Debeir, B. Luber, and J. Mattes, Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories, Medical Image Analysis, 2016. [pdf]
J. Pytela and M. Šmíd, Handling of False Stationary Detections in Background Subtraction in Video Preprocessing, in POSTER, 2015. [pdf]
M. Šmíd and J. Pokorný, Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports, in POSTER, 2014. [pdf] [poster]
M. Felkl, T. Kazmar, M. Smid, J. Mattes, R. Windoffer and R.E. Leube, Monitoring the cytoskeletal EGF response in live gastric carcinoma cells, PLOS ONE, 2012. [PLOS], [pdf]
T. Kazmar, M. Šmíd, M. Fuchs, B. Luber and J. Mattes, Learning cellular texture features in microscopic cancer cell images for automated cell-detection, in EMBC, 2010. [pdf]

2022 computer vision research engineer, Egoscue Inc, USA, https://www.egoscue.com
2021 computer vision engineer, University of Zagreb, Faculty of Transport and Traffic Sciences, Croatia, https://fpz.unizg.hr/
2007-2012 industrial researcher, Software Competence Center Hagenberg, Austria, http://www.scch.at
2010-2011 computer vision assistant lecturer, FH OÖ – Upper Austria University of Applied Sciences, Austria, http://www.fh-wels.at
2006-2007 research engineer, Center for Machine Perception
2006, developer, Tovarna.cz, spol. s r.o., http://www.tovarna.cz
2000-2001 developer, Techniserv, spol. s r.o., http://www.techniserv.cz