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The pollen grains of different plant taxa exhibit various shapes and sizes. This structural diversity has made the identification and classification of pollen grains an important tool in many fields. Despite the myriad of applications, the classification of pollen grains is still a tedious and time-consuming process that must be performed by highly skilled specialists. In this paper, we propose an...
Space-filling visualization techniques have proved their capability in visualizing large hierarchical structured data. However, most existing techniques restrict their partitioning process in vertical and horizontal direction only, which cause problem with identifying hierarchical structures. According to Gestalt research, limiting tree map visualisation to rectangles blocks the utilisation of human...
Significant improvements have been recently achieved in both quality and realism of computer generated characters, which are nowadays often very difficult to be distinguished from real ones. However, generating highly realistic facial expressions is still a challenging issue, since synthetic expressions usually follow a repetitive pattern, while in natural faces the same expression is usually produced...
Many robots are designed so that the number of their actuators is as small as possible to decrease their weight. In many cases, the number of actuators in robots is smaller than that of muscles in animals. We propose the method to increase the dexterity of the robot without increase of actuators. The link made from shape memory gel (SMG) is deformed to be suitable for each task of the robot. The methods...
In this article, we discuss how to detect occasional social interaction by a group of people in an open space such as a hall by observing the environment by cameras. Since it is known in the field of social psychology that some characteristic arrangement is maintained by each group of people during interaction, previous works have tried to detect social interaction based on the arrangement. However,...
In this work, a human head from nuclear electromagnetic pulse (NEMP) is simulated by using CST program for the analysis of SAR at 1MHz, 10MHz, 50MHz. The human head model is homogeneous and simulated with the brain equivalent material. And the NEMP is described by the second double exponential pulse shape with some characteristic parameters. From these results, we find that while the frequency increase,...
This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results...
The usage of non-scripted lecture videos as a part of learning material is becoming an everyday activity in most of higher education institutions due to the growing interest in flexible and blended education. Generally these videos are delivered as part of Learning Objects (LO) through various Learning Management Systems (LMS). Currently creating these video learning objects (VLO) is a cumbersome...
People now use photo browsing, photo and video slideshow, and illustrated text to share stories about their lives in pictures, however, these popular mediums are far from perfect. Some are not expressive enough for sophisticated storytelling, while others inevitably have a high usage threshold and involve a great deal of efforts. In this paper, we propose a framework for comic-based computer-aided...
In our research, we aim to construct a house-keeping robot system which folds laundry. And, we propose a way for folding clothes without vision sensing device. To realize this system, we prepare appropriate fixed folding motion. We analyzed cloth folding motions by human. And, we found fixed folding motion pattern for the robot. Furthermore, we generated a trajectory of folding motion which is applicable...
In this work, we present a new technique to speed up 3D shape retrieval. Instead of performing an exhaustive search over the whole database, which implies a systematic comparison of the query object with all 3D objects in the database, we restrict the pattern matching to a subset of “good candidates” (the most similar to the query). Assuming that the database has been partitioned into several classes,...
Single-shot person re-identification is to match pedestrian images captured from different cameras at different time under the condition of large illumination variations, different viewpoints, and inadequate information of single-shot case. To deal with these challenges, we propose a four-step single-shot person re-identification algorithm that consists of pedestrian segmentation, human region partitioning,...
This paper proposes a markerless video analytic system for quantifying body parts movement while lying. These movements include: hand, leg, both hand & leg and turning to left or right movements. Combination of pixel intensity and area difference of both segmented and the whole parts of each silhouette compared with the following silhouettes would provide a useful cue for detection of different...
Previous surface shape presenting methods had difficulties in generating high-density tactile information owing to blurriness in tactile images caused by lateral skin deformations. In this study, a new surface shape presenting method is proposed, and it employs overlapping small-amplitude vibrations instead of a single vibration. This method represents the mechanism of stationary boundary contacts...
In this paper, we propose a method for representing “neighborhoods” of moving objects such as people. By using neighborhoods, it is possible to determine whether the spatial relations between objects and their surrounding spatial information are strong. It can be said that a neighborhood is the spatial area of an object's attention, interest or concern. It is preferable that neighborhoods move while...
Passive velocity field control is advantageous to deliver human-in-the-loop contour tracking rehabilitation exercises, since patients can be allowed to proceed with their preferred pace, while assistance can still be provided as determined by the therapist with ensured coupled stability. We introduce a framework based on passive velocity field control for robot assisted rehabilitation that includes...
This video presents a motion planning method enabling an autonomous mobile robot to approach a person to initiate a conversation proactively. The proposed concept implements social aspects to give motions a more human-like appearance. This is intended since experiments discussed in literature have shown that it is easier for people to predict and read the purpose of human-like movements. User study...
This work extends the framework of bilateral shared control of mobile robots with the aim of increasing the robot autonomy and decreasing the operator commitment. We consider persistent autonomous behaviors where a cyclic motion must be executed by the robot. The human operator is in charge of modifying online some geometric properties of the desired path. This is then autonomously processed by the...
In this paper, we consider the problem of tracking human motion with a 22-DOF kinematic model from depth images. In contrast to existing approaches, our system naturally scales to multiple sensors. The motivation behind our approach, termed Multiple Depth Camera Approach (MDCA), is that by using several cameras, we can significantly improve the tracking quality and reduce ambiguities as for example...
The human experience in the analysis of the handwriting of male and female writers indicates that gender affects the appearance of the handwritten text. These differences are usually very difficult to describe numerically. In order to analyze the handwriting differences between male and female writers, several shape description techniques, such as the tangent angle function, curvature function and...
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