The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We present a robust algorithm for personalizing a spheremesh tracking model to a user from a collection of depth measurements. Our core contribution is to demonstrate how simple geometric reasoning can be exploited to build a shape-space, and how its performance is comparable to shape-spaces constructed from datasets of carefully calibrated models. We achieve this goal by first reparameterizing the...
Indoor pedestrian tracks are now obtained with monitoring systems, such as video and LiDAR. Statistics using the track information, such as the number of pedestrians and average moving speeds, gives facility managers insights into how to improve the floor plan. However, the statistics sometimes convolute multiple modes of pedestrian movement trends such as “most pedestrians are going straight”. To...
Echocardiography give information about shape, size, and function of heart to create the cardiac image. One of the most commonly measurement in echocardiography is Ejection Fraction. Ejection fraction (EF) used to calculate volume of left ventricle function which oblige doctor to create shape of left ventricle in two phase manually. In this research, we propose an improved system that able to used...
In recent years, much attention has been given to developing robots with various social skills. An important social skill is navigation in the presence of people. Earlier research has indicated preferred approach angles and stopping distances for a robot when approaching people who are interacting with each other. However, an experimental validation of user experiences with such a robot is largely...
3D face tracking using one monocular camera is an important topic, since it is useful in many domains such as: video surveillance system, human machine interaction, biometrics, etc. In this paper, we propose a new 3D face tracking which is robust to large head rotations. Underlying cascaded regression approach for 2D landmark detection, we build an extension in context of 3D pose tracking. To better...
We present an approach to reconstruct the 3D shape of multiple deforming objects from incomplete 2D trajectories acquired by a single camera. Additionally, we simultaneously provide spatial segmentation (i.e., we identify each of the objects in every frame) and temporal clustering (i.e., we split the sequence into primitive actions). This advances existing work, which only tackled the problem for...
This work presents theoretical and experimental investigations on an untethered rolling tensegrity robot. Previous research has shown, that rolling locomotion of compliant tensegrity robots can be realized without change of their shape, by using only internal mass shifting. The use of simple tensegrity structures, based on curved compressed members enables pure rolling locomotion in contrast to the...
Despite many proposed solutions, multi-object tracking remains a challenging problem in complex situations involving partial occlusions and non-uniform and abrupt illumination changes. Considering modular systems, the tracking performance strongly depends on the consistency of the different blocks relatively to error features. In this work, using the Belief Function framework, we take into account...
Several major advances in Cell and Molecular Biology have been made possible by recent advances in live-cell microscopy imaging. To support these efforts, automated image analysis methods such as cell segmentation and tracking during a time-series analysis are needed. To this aim, one important step is the validation of such image processing methods. Ideally, the “ground truth” should be known, which...
In recent years, HIFU (High Intensity Focused Ultrasound) therapy, which is one of the non-invasive therapies utilizing focused ultrasound, have attracted a great attention as a novel treatment method for a focal lesion, such as a tumor and a stone. However, the focal lesion moves in accordance with respiration, which may cause the damage for the surrounding normal tissues. To cope with this problem,...
High-level, closed-loop traversal through obstacle-strewn environments remains an open and challenging endeavor for snake-like robotic platforms. Rectilinear forms of locomotion, despite their unique mobility advantages compared to other gait shapes, have seen relatively little progress toward this objective. A dynamical exposition of traveling wave rectilinear motion is reviewed and applied to generate...
Inferring the pose and shape of vehicles in 3D from a movable platform still remains a challenging task due to the projective sensing principle of cameras, difficult surface properties e.g. reflections or transparency, and illumination changes between images. In this paper, we propose to use 3D shape and motion priors to regularize the estimation of the trajectory and the shape of vehicles in sequences...
Image processing is a method of extracting some useful information by converting image into digital inform by performing some operations on it. Object detection and tracking are the task that is important and challenging such as video surveillance and vehicle navigation. Video surveillance is a technology which works in dynamic environment in various events such as sports, public safety, and management...
Body orientation gives useful information on assessing a human's state and/or predicting his/her future actions. This paper presents a method of reliably estimating human body orientation using a LIDAR on a mobile robot by integrating shape and motion information. A shape database is constructed by collecting body section shape data from various viewpoints. The result of matching between an input...
High-frequency forward-looking sonars are appropriate for the operation or search close to the seabed. Constructing a panoramic mosaic not only facilitates an interpretation of the underwater environment, but also supports the vehicle's self-localization. In this paper, a method to register sonar sequences is proposed that is based on the feature tracking using the particle filtering. Our methods...
Pedestrian detection is a challenging problem studied over decades. Most algorithms are based on human appearance. Only few works consider motion as a feature component. In this paper, however, we tackle this problem only considering short periods of pedestrian walking. This motion does not depend on the variations of pedestrian pose, body shape, illumination, and background. We model pedestrian motion...
Mobile wireless ad hoc network (MANET) becomes increasingly popular in responding to emergency situation. In this paper a possibility to support rescue team in monitoring heavy gas cloud with MANET comprised of mobile sensing devices is investigated. In the view of the current state of research, two methods for controlling mobile sensing devices during MANET self-organization are presented. The first...
The paper explains about tracking a dynamically changing arbitrary shaped structure, important for determining their boundary and position estimation for advanced warning. The proposed algorithm uses active contour detection algorithm to construct the effective contour in each frame. Then Hungarian based Kalman filter is used to achieve best accuracy in estimation of future positions using multi-point...
Action recognition is actually considered as one of the most challenging areas in computer vision domain. In this paper, we propose a new approach based on utilization of motion boundaries to generate Motion Stable Shape (MSS) features to describe human actions in videos. In fact, we have considered actions as a set of human poses. Temporal evolution of each human pose is modeled by a set of new MSS...
This paper proposes a novel ball tracking approach for coping with difficult situations as occlusion and fast object movement, in the context of collective sports. In particular, in the context of soccer, the ball cannot be represented by the features which are commonly utilised in the state of the art, because of the high distortion of the ball in case of fast movement, and considering the small...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.