Crop growth monitoring is an important phenomenon for agriculture classification, yield
estimation, agriculture field management, improve productivity, irrigation, fertilizer …

Camera calibration and radial distortion correction are the crucial prerequisites for many
applications in image big data and computer vision. Many existing works rely on the …

Calibration of multi-camera systems, ie determining the relative poses between the cameras,
is a prerequisite for many tasks in computer vision and robotics. Camera calibration is …

This paper presents a simple camera calibration method for estimating human height in
video surveillance. Given that most cameras for video surveillance are installed in high …

We propose a fully automated system that simultaneously estimates the camera intrinsics,
the ground plane, and physical distances between people from a single RGB image or video …

Camera based systems in dairy cattle have been intensively studied over the last years. Past
studies have concentrated on single camera systems with a limited range of applications …

In this paper, we propose a novel extrinsic calibration method for camera networks by
analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by …

We present a fully automatic camera calibration algorithm for monocular stationary
surveillance cameras. We exploit only information from pedestrians tracks and generate a …

Image-based 3D reconstruction for Internet photo collections has become a robust
technology to produce impressive virtual representations of real-world scenes. However …

Extrinsic camera calibration is essential for any computer vision task in a camera network.
Typically, researchers place a calibration object in the scene to calibrate all the cameras in a …