Identification of Location and Camera Parameters for Public Live Streaming Web Cameras

Abstract

Public live streaming web cameras are quite common now and widely used by drivers for qualitative analysis of traffic conditions. At the same time, they can be a valuable source of quantitative information on transport flows and speed for the development of urban traffic models. However, to obtain reliable data from raw video streams, it is necessary to preprocess them, considering the camera location and parameters without direct access to the camera. Here we suggest a procedure for estimating camera parameters, which allows us to determine pixel coordinates for a point cloud in the camera’s view field and transform them into metric data. They are used with advanced moving object detection and tracking for measurements.

Keywords

• depth map
• radial distortion
• perspective distortion
• camera calibration
• transport traffic statistics