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The concept of perceptual integration of multiple depth cues is proposed for converting 2D videos to 3D videos. Several monocular depth cues have been explored to reconstruct 3D videos. We propose reliability-based promotion and fusion of depth cues for an automatic reconstruction of 3D videos in this demo by mimicking how human visual system does.
Human pose estimation from monocular image sequences is attracting increasing attention, and 2D (image-based) as well as 3D (joint-motion based) approaches have been proposed. The former is computationally fast, and works also for less frequent poses, but reliability is low. The latter is computationally expensive owing to the high-dimensionality of the problem, despite attempts at dimensionality-reduction...
We outline the retrieval of images from a network of security cameras by means of an attribute-based query. Our approach is based on detectors for several object classes which enable combined queries to retrieve people based on characteristic pieces of luggage. The approach works independently of camera recording frame rates since it does not rely on tracking or background assumptions, and it requires...
We propose a method for learning shape models enabling accurate articulated human pose estimation from a single image. Where previous work has typically employed simple geometric models of human limbs e.g. cylinders which lead to rectangular projections, we propose to learn a generative model of limb shape which can capture the wide variation in shape due to varying anatomy and pose. The model is...
This work presents the development of an optical motion-capture system for 3D gait analysis. The system consists of two video cameras with speed of 25 fps, flash lighter, LED markers, and two PCs and technical computing software, which are used to acquire marker motion attached to human body during walking. The developed system has five module to obtain real coordinate of markers, i.e. pre-processing,...
Human walking analysis is instrumental in medical rehabilitation because it gives quantitative information of human body segment during walking. The present work is a part of research on the development of 3D gait analyzer system. The system consists of a program to process and display 3D kinematics parameter of human gait based on position and displacement of markers. Observational data is in the...
In this paper we discuss several methods for the creation of 3D models that can provide additional information to robot operators in order to improve their situation awareness of the robot being teleoperated. We derive the 3D models from spatial data gathered from an inexpensive, readily available, video game sensor. In addition, the paper introduces a new method for feature extraction as part of...
In this paper, we present a part model for human action recognition from video. We use 3D HOG descriptor and bag-of-feature to represent video. To overcome the unordered events of bag-of-feature approach, we propose a novel multiscale local part model to preserve temporal context. Our method builds upon several recent ideas including dense sampling, local spatial-temporal (ST) features, 3D HOG descriptor,...
Humans mainly use their fingertips to explore and manipulate objects in daily life. When the fingertip comes in contact with an object, the mechanoreceptors beneath the skin respond to the deformation of skin and generate electrical impulses sent to the brain. However, the mechanical state at receptor locations is not empirically observable with the current technology. It is necessary to develop reliable...
Being able to work effectively in any collaborative venture is beneficial for everyone who is involved in the undertaking. In order for a collaborative venture to be effective, it must allow a wide range of people possessing different expertise to interact in a seamless manner. Thus, it is of utmost importance to investigate the underlying strategy that permits people with different expertise to work...
Artificial creatures need an intelligent behavior selection method to be used as an intermediate interface for natural interaction with users. For this purpose, the mechanisms of thought were proposed based on the probability and the degree of consideration. However, they were time-consuming when applying to an intelligent artificial creature with large numbers of wills, contexts and behaviors. Moreover,...
This paper discusses robot perception of an unexpected object for human friendly robots. A robot should be able to perceive an environment flexibly to realize an intelligent behavior. We focus on a perceptual system for human visual perception based on perceiving-acting cycle concept discussed in ecological psychology. We have proposed a perceptual system composed of the retinal model and the spiking-neural...
We introduce an innovative, semi-automatic method to transform low resolution facial meshes into high definition ones, based on the tailoring of a generic, neutral human head model, designed by an artist, to fit the facial features of a specific person. To determine these facial features we need to select a set of "control points" (corners of eyes, lips, etc.) in at least two photographs...
This paper aims at description and reproduction of the body motion of stylized traditional dances by using fundamental elements of Labanotation while keeping the quality of body movement of CG character animation. We propose and implement a dynamic template technique enabling users to notate stylized traditional dances and reproducing it in 3D CG animation from a Labanotation score.
In this work, we present a Hidden Markov Model (HMM) based stylistic walk synthesizer, where the synthesized styles are combinations or exaggerations of the walk styles present in the training database. In a first stage, Hidden Markov Models of eleven different styles of gait are trained, using a database of motion capture walk sequences. In a second stage, the probability density functions inside...
Internet of Things (IoT) develops rapidly and becomes a hot topic around the world now. After analyzing and comparing the current IoT layer models, a three-dimension (3D) technology model is proposed to classify the complicated IoT technologies logically for the existing IoT. Furthermore, U2IoT (Unit IoT and Ubiquitous IoT) model is summarized and the layer model is updated by adding social layer...
3D face reconstruction is a research hotspot in computer animation, computer games, computer vision, and image recognition fields in recent years. It can enhance the virtual reality experience. In this paper, the approach of 3D face reconstruction from one image is introduced. First, the multiple transformation modeling technique is used to construct a human face grid, which can be adjusted. Secondly,...
In this paper, we proposed a method to recognize complex human daily activities including body activities and hand gestures simultaneously in an indoor environment. Three wearable motion sensors are attached to the right thigh, the waist, and the right hand of a person, while an optical motion capture system is used to obtain his/her location information. A three-level dynamic Bayesian network is...
In this paper, we address the problem of reconstructing 3D volumetric models, illustrating human sporting performance for use in coaching scenarios. We advocate the use of low cost camera networks for acquiring such data, allowing the approach to be feasibly adopted by both amateur and elite level sports athletes. A dynamic voxel carving approach is described, coupled with over-head player tracking...
In this paper we present representations and mechanisms that facilitate continuous learning of visual concepts in dialogue with a tutor and show the implemented robot system. We present how beliefs about the world are created by processing visual and linguistic information and show how they are used for planning system behaviour with the aim at satisfying its internal drive - to extend its knowledge...
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