. . . . "Herout, Adam" . . . "Sochor, Jakub" . "Fully Automatic Roadside Camera Calibration for Traffic Surveillance"@en . "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 u" . . "Hough Transform, Camera Calibration, Diamond Space, Roadside Data"@en . "10.1109/TITS.2014.2352854" . "Fully Automatic Roadside Camera Calibration for Traffic Surveillance" . . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . . "Dubsk\u00E1, Mark\u00E9ta" . "1524-9050" . . . "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 u"@en . . "Fully Automatic Roadside Camera Calibration for Traffic Surveillance"@en . . "10"^^ . . . . "26230" . "Fully Automatic Roadside Camera Calibration for Traffic Surveillance" . "17632" . . "RIV/00216305:26230/14:PU112005!RIV15-MSM-26230___" . "IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS" . "Dubsk\u00E1, Mark\u00E9ta" . . "[7BEB2E6AE8F6]" . "RIV/00216305:26230/14:PU112005" . "4"^^ . "Jur\u00E1nek, Roman" . "2014" . . "4"^^ . "P(ED1.1.00/02.0070), P(TE01020415), S" . "1" . .