Result Details
Fully Automatic Roadside Camera Calibration for Traffic Surveillance
        JURÁNKOVÁ, M.; HEROUT, A.; JURÁNEK, R.; SOCHOR, J. Fully Automatic Roadside Camera Calibration for Traffic Surveillance. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, vol. 2014, no. 1, p. 1-10.  ISSN: 1524-9050.
    
                Type
            
        
                journal article
            
        
                Language
            
        
                English
            
        
            Authors
            
        
                Juránková Markéta, Ing., Ph.D., FIT (FIT), DCGM (FIT)
                
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Sochor Jakub, Ing., Ph.D., FIT (FIT), DCGM (FIT)
        Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Sochor Jakub, Ing., Ph.D., FIT (FIT), DCGM (FIT)
                    Abstract
            
        This paper deals with automatic calibration of roadside surveillance cameras. We focus on parameters necessary for measurements in traffic surveillance applications. Contrary to the existing solutions, our approach requires no a priori knowledge and it works with a very wide variety of road settings (number of lanes, occlusion, quality of ground marking), and with practically unlimited viewing angles. The main contribution is that our solution works fully automatically - without any per-camera or per-video manual settings or input whatsoever - and it is computationally cheap.
Our approach uses tracking of local feature points and analyzes the trajectories in a manner based on Cascaded Hough Transform and parallel coordinates.  An important assumption for the vehicle movement is that at least a part of the vehicle motion is approximately straight -- we discuss the impact of this assumption on the applicability of our approach and show experimentally, that this assumption does not limit the usability of our approach severely.
            
                Keywords
            
        Hough Transform, Camera Calibration, Diamond Space, Roadside Data
                Published
            
            
                    2014
                    
                
            
                    Pages
                
            
                        1–10
                
            
                    Journal
                
            
                    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 2014, no. 1, ISSN 1524-9050
                
            
                    DOI
                
            
                    UT WoS
                
            
                    000359252700008
                
            
                EID Scopus
                
            
                    BibTeX
                
            @article{BUT111600,
  author="Markéta {Juránková} and Adam {Herout} and Roman {Juránek} and Jakub {Sochor}",
  title="Fully Automatic Roadside Camera Calibration for Traffic Surveillance",
  journal="IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS",
  year="2014",
  volume="2014",
  number="1",
  pages="1--10",
  doi="10.1109/TITS.2014.2352854",
  issn="1524-9050"
}
                Projects
            
        
        
            
        
    
    
        Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
                
V3C - Visual Computing Competence Center, TAČR, Centra kompetence, TE01020415, start: 2012-05-01, end: 2019-12-31, completed
Zpracování, rozpoznávání a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-14-2506, start: 2014-01-01, end: 2016-12-31, completed
        V3C - Visual Computing Competence Center, TAČR, Centra kompetence, TE01020415, start: 2012-05-01, end: 2019-12-31, completed
Zpracování, rozpoznávání a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-14-2506, start: 2014-01-01, end: 2016-12-31, completed
                Research groups
            
        
                Computer Graphics Research Group (RG GRAPH)
            
        
                Departments