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This paper is dedicated to the research of head detection method based on binocular stereo vision. In the first stage, we correct the acquired images, and in the second stage calculate the target parallax in binocular vision. According to the feature of the head contour, different depth distribution of person and the scene in depth map by binocular stereo image, the relationship between head's geometric...
Binocular eye-gaze tracking can be used to estimate gaze of a subject in space using the vergence of the eyes. We analyze eye movement and head movement. As for the eye movement, we used the TalkEye which is eye tracking device. The head angle determined by template matching using a camera attached to TalkEye. A purpose of this study is to compare the proposal method using TalkEye with the conventional...
There is a need to standardize the performance of eye gaze estimation (EGE) methods in various platforms for human computer interaction (HCI). Because of lack of consistent schemes or protocols for summative evaluation of EGE systems, performance results in this field can neither be compared nor reproduced with any consistency. In contemporary literature, gaze tracking accuracy is measured under non-identical...
This paper is focused on the problem of tracking an object by the head movement of robot with two cameras simultaneously, one robot camera and one fixed external camera. The goal of using external camera is to test, how it can aid the head camera of robot when the object moves out of its field of view. The setup of system is focused on comparison of robot with and without additional camera. The tracked...
This paper introduced a novel method for stereoscopic image creation in virtual reality system. In our method, the left and right images are created in a single camera space, and the image disparities are produced by a pair of matrices. Based on the analysis on the relations among disparity, perceived depth and deformation of perceived objects in a single camera space, disparity and perceived deformation...
In many clinical scenarios, the spatial resolution of typical time-of-flight devices is not sufficient. Optical coherence tomography (OCT) presents an interesting high resolution modality with applications in image guided surgery and tissue characterization. However, the small field of view makes scanning larger areas difficult. We therefore consider co-registering a ToF depth camera (Kinect) with...
During early visual development, the infant's body and actions both create and constrain the experiences on which the visual system grows. Evidence on early motor development suggests a bias for acting on objects with the eyes, head, trunk, hands, and object aligned at midline. Because these sensory-motor bodies structure visual input, they may also play a role in the development of visual attention:...
Infants learn their first object names by linking heard names to scenes. A core theoretical problem is how infants select the right referent from cluttered and ambiguous scenes. Here we show how the distributional properties of objects in young infants' visual experiences may help solve this core problem in early word learning. Infant perspective scenes of mealtimes were collected using head cameras...
This paper introduces a unique type of mixed reality system based on passive-haptic feedback, which enables its user to manipulate real objects with bare hands while seeing its counterpart in the HMD with more information attached. The system provides users in MR systems with a more realistic sense of touch and costs less money comparing to the active force feedback devices. In this paper, accuracy...
Hand-held transparent displays are important infrastructure for augmented reality applications. Truly transparent displays are not yet feasible in hand-held form, and a promising alternative is to simulate transparency by displaying the image the user would see if the display were not there. Previous simulated transparent displays have important limitations, such as being tethered to auxiliary workstations,...
In this paper, we propose a tabletop interface in which a user wears a projector with a depth camera on his or her head and can perform touch operations on an image projected on a flat surface. By using the head-mounted projector, images are always projected in front of the user in the direction of the user's gaze. By changing the image to be projected based on the user's head movement, this interface...
Understanding the anatomy of the human body is vital for everyone working in the medical domain. Augmented reality (AR) systems for anatomy teaching, which display virtual information directly on top of a users' body, have proven to facilitate mental mapping compared to traditional teaching paradigms. In this paper, we explore the potential of diminished reality (DR) in the context of anatomy education...
Most human detection algorithms in depth images perform well in detecting and tracking the movements of a single human object. However, their performance is rather poor when the person is occluded by other objects or when there are multiple humans present in the scene. In this paper, we propose a novel human detection technique which analyzes the edges in depth image to detect multiple people. The...
Concussion is currently a serious health problem and can lead to severe brain dysfunction. There is a definite need for sensitive and reliable tests to detect and evaluate the subtle changes in brain function caused by concussion. This study details the development of a low cost portable eye tracking device that can aid in the detection of concussions. The device evaluates ocular motor function and...
The Olympics will be held in Tokyo in 2020, and the training of the athlete using technology has been gaining attention. In an effort to refine the competitive ability of top athletes by evaluating their performance objectively, we have focused on eye movement and head movement. Since the field of view moves according to the athlete's head movement, which is a problem for the conventional method of...
In this paper, an online tracking system has been developed to control the arm and head of a Nao robot using Kinect sensor. The main goal of this work is to achieve that the robot is able to follow the motion of a human user in real time to track. This objective has been achieved using a RGB-D camera (Kinect v2) and a Nao robot, which is a humanoid robot with 5 degree of freedom (DOF) for each arm...
The human traffic in each bus station is estimated in real-time by means of an embedded ARM(Acorn RISC Machine) platform and the API(Application Programming Interface) in OpenCV(Open Source Computer Vision). For high-density human traffic situations, this paper proposed a method in which the Hough Circle Transform, centroid coordinates and color are used as the features for detecting, tracking and...
The article presents a comprehensive strategy of door parts (locks, handles, doorplates etc.) examination as a paradigm of active sensing. It covers the whole process — from segmentation, through initial hypothesis generation based on fuzzy inference, to final recognition and precise localization of the keyholes in a robot base coordinate system. The strategy is a preliminary stage of a door locks...
Nowadays, more and more online examinations are holden in the distributed examination centers, which calls for the deployment of examination surveillance systems. Various related techniques have been proposed for this purpose, for example, video surveillance, face recognition based identification, and etc. However, there is still a lack of flexible and scalable solution to detect the misbehavior of...
Mobile Telepresence Robots (MTR) are an emerging technology that extend the functionality of telepresence systems by adding mobility. MTRs nowadays, however, rely on stationary imaging systems such as a single narrow-view camera for vision, which can lead to higher operator error rates due to view-related deficiencies in situational awareness. We therefore developed an improved imaging and viewing...
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