A Bayesian marked point process (MPP) model is developed to detect and count people in
crowded scenes. The model couples a spatial stochastic process governing number and …

We present an approach which exploits the coupling between human actions and scene
geometry. We investigate the use of human pose as a cue for single-view 3D scene …

We propose a new framework for automatic surveillance camera calibration by observing
videos of pedestrians walking through the scene. Unlike existing methods that require …

A method of detecting a supporting surface region in an image captured by a camera is
disclosed. An object in the image is detected. One or more regions of the image in which a …

We present an approach which exploits the coupling between human actions and scene
geometry to use human pose as a cue for single-view 3D scene understanding. Our method …

In this study, an estimation method for human height is proposed using color and depth
information. Color images are used for deep learning by mask R-CNN to detect a human …

Studies support the need for high resolution imagery to identify persons in surveillance
videos. However, the use of telephoto lenses sacrifices a wider field of view and thereby …

We present a novel method for computing depth of field and geometry from a single 2D
image. This technique, unlike the existing ones measures the absolute depth of field and …

We propose a novel approach for multi-camera autocalibration by observing multiview
surveillance video of pedestrians walking through the scene. Unlike existing methods, we do …

(57) ABSTRACT A method of determining a boundary of an obstacle which occludes an
object in an image, is disclosed. At least one object in the image and a further image …