… Most person detection technologies implement unimodal … unimodal person detectors, and
many more reasons to ensure technologies responsible for detecting the presence of a person …

… detection systems have been proposed to extract multiple features simultaneously. These
detection systems … , we propose a multimodal fusion system that can detect and track people in …

… Such a multimodal solution is effective for face detection and … The training of neural networks
for face detection is mostly … mance of systems employing neural networks in face detection. …

… in realtime but detection accuracy is low. We propose multimodel fusion detection system
(MFDS), a sensor fusion system that combines the speed of a fast image detection CNN model …

… The depth map and the person detection functionality provided by off-the-shelf RGB-D
sensors enable a relatively easy detection of some anthropometric measures (see Sect. II-B). …

… detection. Biometric identification systems, which use physical features to check a person’s …
For example, if the system always correctly identifies a person by lip movement, we can give …

… to obtain a more informative detector. Even though person detection is far from being solved
… sensor fusion can increase the overall detection confidence especially in hard examples. …

… The present research investigates the many stages involved in person detection, together
with recent developments in this field. The task of improving the precision of identifying persons…

… , a multimodal user-emotion detection system for social robots is presented. This system is
… interaction system of the robot: the Robotics Dialog System (RDS). Two modes are used to …

… the systems. It touches on levels and methods of fusion involved in biometric systems. This
… better understanding of multimodal biometric sensing and processing systems and research …