… system for position and posture detection that only requires standard 2D camera imaging
with no … This deep learning system applies the state-of-the-art Faster R-CNN object detection …

… This work extends previous work for detecting position and posture of pigs in images from
standard 2D cameras using deep learning. Previous work investigated a smaller search space …

… posture detection technique in 2D images. Two architectures of the ResNet model (ie,
ResNet50 and ResNet101) were applied. ResNet is a deep residual network introduced by [22] …

… , they achieved a mean average precision (mAP) of 80.2% on pig position and posture
detection with sufficient similar training images, but the mAP was only 44.8–58.8% under more …

… detection of falls and the recognition of several postures for elderly homecare applications.
A wall-mounted Time-Of-Flight camera … for fall detection in 3D range image that combines …

… Thermal imaging provides a robust solution to visibility change (illumination, smoke) and
is … for posture analysis in dense groups of people. The objective is to automatically detect …

… a time-of-flight depth camera, SwissRanger SR4000, as a 3D imaging system for this research.
Human detection is the prelude of human posture analysis. Based on depth images, the …

… 2.3 Image Database for Posture Detection The experiments are carried out on the Weizmann
human silhouette based action database [12] (Fig. 3). The database consists of video …

… Ergonomic posture capture is a process used to detect, track … 3D ergonomic postures
recognition in single 2D camera; … single 2D image; third, the average posture recognition accuracy …

… that comes with this type of cameras. Because of their small … be used to detect the position
and then determine the posture of a … camera systems considered in this work deliver the image …