Camera localization involves the estimation of the camera pose of an image from a random scene.We used a single image or sequence of images or videos as the input.The output depends on the representation of the scene and method used.Several computer vision applications, such as robot navigation and safety inspection, can benefit from camera localiz

The monitoring of farm animals and the automatic recognition of deviant behavior have recently become increasingly important in farm animal science research and in practical agriculture.The aim of this study was to develop an approach to automatically predict behavior and posture of sows by using a 2D image-based deep neural network (DNN) for the d

Earthquakes are reported to be preceded by Tank Cover anomalous increases in satellite-recorded thermal emissions, but published results are often contradicting and/or limited to short periods and areas around the earthquake.We apply a methodology that allows to detect subtle, localized spatio-temporal fluctuations in hyper-temporal, geostationary-

Extensive work have been done to harvest untapped water energy in gift box formats of raindrops, flows, waves, and others.However, attaining stable and efficient electricity generation from these low-frequency water kinetic energies at both individual device and large-scale system level remains challenging, partially owing to the difficulty in desi