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Existing methods on passive facial performance capture assume that the input images are well captured. They merely consider how to deal with motion blurred images in the input sequence, which is very common in the image capture process. This paper presents a collection of novel algorithms and a thereby resulting system to reconstruct high quality facial dynamic geometry even from a partially blurred...
This paper describes a sophisticated method to track irises in a monocular video sequence without infrared illumination. In order to reduce the influence of eyelids and to cope with the variance of the appearance of eyes of different people, we propose a variable circular sector separability filter (VCSSF), and use it to estimate the likelihood of hypotheses in the particle filter. We confirmed that...
Motion and image analysis are both important for robust solutions to video search of activities; the physics-based, data-driven Hamiltonian Monte Carlo (HMC), a Markov chain Monte Carlo variant that is efficient in searching large dimensional spaces, simultaneously examines the combined motion and image space. In this paper, we generalize the data-driven HMC to no longer depend upon ad hoc Guide Hamiltonians...
In a scene image, some characters are difficult to recognize and some others are recognized easily. Such difficult characters usually make the processing time long while easy characters are recognized in a short time. In this paper, we propose a system which recognizes each character with a proper cost for the difficulty. Through the process, easy characters are recognized early and difficult ones...
The paper focuses on 3D structure and motion factorization from uncalibrated image sequences. An alternative weighted factorization algorithm is proposed to handle noisy image measurement. The novelty and main contributions of the paper are as follows: (i) A simple while accurate quasi-perspective projection model is adopted for structure and motion factorization; (ii) feature uncertainties are estimated...
Awake brain surgery is performed for the purpose of preserving brain functions and removing brain tumors as possible when the tumors are in or near the eloquent area like the language area and the motor area. In this surgery, detecting functionally essential cortical areas is important process which is performed with direct electrical stimulation using an electrode by surgeons, and this process is...
We proposed a motion segmentation method a few months ago. The problem of it is that the contour of the object segmented from the image sequence is always unclosed. This paper presents a method of the Gradient Vector Flow (GVF) field snake to close the contour. The initial curve of the GVF snake is rectangle, so that the curve can be used in the tracking and recognition applications. However, corners...
In 4-D echocardiography (4DE), displacement estimates obtained solely from multi-dimensional speckle tracking can exhibit large variances and peak hopping, making it challenging to accurately calculate myocardial strains. 3-D phase-sensitive speckle tracking can produce sensitive estimates along the axial direction, but typically provides poorer estimates in orthogonal directions and at tissue boundaries...
This paper presents an approach to detect moving and static objects occurring in a video by a novel model-based tracking. The method exploits the spatial and motion coherence of objects across image frames that results from the known bounded shape distortion and object's velocity between two consecutive frames. The interframe transformation space is thus reduced to a reasonable small space of only...
The paper focuses on robust 3D structure from motion of nonrigid objects from uncalibrated image sequences. A new affine factorization algorithm is first proposed to avoid the difficulty in image alignment for imperfect data, followed by a robust factorization scheme to handle outlying and missing data. The novelty and main contributions of the paper are as follows: (i) as a new addition to previous...
We present a robust framework for learning and fusing different modalities for rigid object tracking. Our method fuses data obtained from a standard visual camera and dense depth maps obtained by low-cost consumer depths cameras such as the Kinect. To combine these two completely different modalities, we propose to use features that do not depend on the data representation: angles. More specifically,...
Segmentation of the myocardium in echocardiographic images is an important task for the diagnosis of heart disease. This task is difficult due to the inherent problems of echographic images (i.e. low contrast, speckle noise, signal dropout, presence of shadows). In this article, we extend a level-set method recently proposed in [1] in order to track the whole myocardium in echocardiographic sequences...
The current Football Resource Planning (FRP) systems integrate both internal and external information management across the entire professional football organization, including features to gather automated information from the teams, not only on the competition part but also on the preparation. In this paper, we present three of those tools from the Footdata's web/cloud FRP system: Field Editor (FE),...
In this paper, we present a hand tracking and gesture recognition system. Our system employs a depth capture device to acquire 3D geometric information of user's bare hand, and the user's hand position and gesture information is estimated from the depth clues. In particular, we build a flexible tracking volume and restrict the hand tracking area within the tracking volume in order to avoid diverse...
Gesture interaction by gait is becoming a topic of interest in human computer interaction due to its advantage of identifying individuals. This paper provides a brief review of recent developments on gait tracking and gives an overview of model-based approaches for gesture recognition. To recognize gait gesture in real-time, model-based approach is generally used in gesture interaction. The camera...
We recently proposed a generic framework for real-time 3D segmentation (BEAS) and we demonstrated that it allows real-time segmentation of volumetric cardiac US sequences. Nevertheless, typical artifacts in RT3DE, such as lateral wall dropout and near-field artifacts still pose some challenges. The aim of the present study was to develop a real-time 3D LV automatic segmentation/tracking framework...
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 ability to visually extract and track features is appealing to scientists in many simulations including flow fields. However, as the resolution of the simulation becomes higher, the number of features to track increases and so does the cost in large-scale simulations. Since many of these features act in groups, it seems more cost-effective to follow groups of features rather than individual ones...
One popular approach for multi-camera detection of pedestrians or other objects of interest in surveillance scenes is to perform background subtraction and project the resulting foreground mask images to a common scene plane using homographies. As the complexity of the scene increases, it is unavoidable that so called "ghost" detections should occur. These are false positives, indicating...
In the development of an effective medication management system to improve medication adherence, the challenge of flexibly dispensing of medications of multiple sizes and shapes was encountered. It is found that most of the medication dispensers in the market, as well as the feeding and orienting mechanisms in manufacturing sector, are customized to be operated with objects of specific size. In view...
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