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This paper proposes a method for motion tracking of objects without a pre-defined shape, the main aspect of this method is the use of a probabilistic volumetric reconstruction that incorporates motion information. First, a volumetric reconstruction of the objects of interest is obtained by the 3D Probabilistic Occupancy Grid method, which was recently proposed for to be applied in environments sensed...
Most of the development of pose recognition focused on a single person. However, many applications of computer vision essentially require the estimation of multiple people. Hence, in this paper, we address the problems of estimating poses of multiple persons using volumes estimated from multiple cameras. One of the main issues that causes the multiple person from multiple cameras to be problematic...
This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric reconstruction technique, called 3D Probabilistic Occupancy Grids, which is still seldom used for this purpose. The target is tracked by the use of Expectation-Maximization algorithm with...
Obtaining a dynamically reconstructed background sprite image is an important and challenging task for video applications such as object-based video coding, tracking and video object segmentation. This paper proposes a novel system for video background reconstruction with camera in motion. Firstly, the proposed algorithm uses feature point pairs from current frame and a reference frame for reliable...
In human health and performance studies, there is a need to detect, track and describe human subjects in real-time and in three-dimensional (3D) space. The work presented here is motivated by the problem of detecting human subjects in physical spaces, reconstructing their location in 3D, describing their spectral characteristics at each 3D location, and rendering 3D and spectral characteristics in...
Digital image-based elasto-tomography technology relies on obtaining high-resolution images of a breasts surface under high-frequency actuation, typically in the range of 50-100 Hz. Off-the-shelf digital cameras and imaging elements are unable to capture images directly at these speeds. A method based on strobe imaging is presented for obtaining the required high-speed image capture at a resolution...
In structure from motion, if two metric structures are given, the unknown scale between them can be resolved by constraining the rigidity of the metric space. There exist two well-known approaches. The first one is the pose estimation which aims to find the pose of a camera for known 3D points. The second one is the scale estimation whose goal is to resolve the scale after estimating the motion between...
This paper focuses on two aspects of a human robot interaction scenario: Detection and tracking of moving objects, e.g., persons is necessary for localizing possible interaction partners and reconstruction of the surroundings can be used for navigation purposes and room categorization. Although these processes can be addressed independent from each other, we show that using the available data in exchange...
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework consists of an iterative learning procedure where at each frame the occlusion model is used to solve the voxel occupancy problem, and this solution is then used to update the occlusion model. Along with this iterative procedure,...
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