Intelligent transportation systems Urban traffic infrastructures a b s t r a c t In this paper, a hierarchical monocular camera auto-calibration method is presented for applications in the framework of intelligent transportation systems (ITS). It is based on vanishing point extraction from common static elements present on the scene, and moving objects as pedestrians and vehicles. This pro-cess is very useful to recover metrics from images or applying information of 3D models to estimate 2D pose of targets, making a posterior object detection and tracking more robust to noise and occlusions. Moreover, the algorithm is independent of the position of the camera, and it is able to work with variable pan-tilt-zoom (PTZ) cameras in fully self-ad...
Machine Learning has played a major role in various applications including Autonomous Vehicles and I...
In the last decade, several research results have presented formulations for the auto-calibration pr...
Many environments lack enough architectural information to allow an autocalibration based on feature...
Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in t...
Vanishing points of an image contain important information for camera calibration. Various calibrati...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
Vanishing points of an image contain important information for camera cal-ibration. Various calibrat...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
Vanishing points of an image contain important information for camera calibration. Various calibrati...
A statistical and computer vision approach using tracked moving vehicle shapes for auto-calibrating ...
Machine Learning has played a major role in various applications including Autonomous Vehicles and I...
In the last decade, several research results have presented formulations for the auto-calibration pr...
Many environments lack enough architectural information to allow an autocalibration based on feature...
Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in t...
Vanishing points of an image contain important information for camera calibration. Various calibrati...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
Vanishing points of an image contain important information for camera cal-ibration. Various calibrat...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
We present a fully automatic camera calibration algorithm for monocular stationary surveillance came...
Vanishing points of an image contain important information for camera calibration. Various calibrati...
A statistical and computer vision approach using tracked moving vehicle shapes for auto-calibrating ...
Machine Learning has played a major role in various applications including Autonomous Vehicles and I...
In the last decade, several research results have presented formulations for the auto-calibration pr...
Many environments lack enough architectural information to allow an autocalibration based on feature...