1,503 research outputs found
Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space
This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components. By combining normalized color components with their gradients, shadows are efficiently suppressed from the results, while the luminance information in the moving objects is preserved. Moreover, a fast multi-region iterative tracking strategy applied over previously detected foreground regions allows to construct a robust foreground modeling, which combined with the background model increases noticeably the quality in the detections. The proposed strategy has been applied to different kind of sequences, obtaining satisfactory results in complex situations such as those given by dynamic backgrounds, illumination changes, shadows and multiple moving objects
Real-time shot detection based on motion analysis and multiple low-level techniques
To index, search, browse and retrieve relevant material, indexes describing the video content are required. Here, a new and fast strategy which allows detecting abrupt and gradual transitions is proposed. A pixel-based analysis is applied to detect abrupt transitions and, in parallel, an edge-based analysis is used to detect gradual transitions. Both analysis are reinforced with a motion analysis in a second step, which significantly simplifies the threshold selection problem while preserving the computational requirements. The main advantage of the proposed system is its ability to work in real time and the experimental results show high recall and precision values
Kernel bandwidth estimation for moving object detection in non-stabilized cameras
The evolution of the television market is led by 3DTV technology, and this tendency can accelerate during the next years according to expert forecasts. However, 3DTV delivery by broadcast networks is not currently developed enough, and acts as a bottleneck for the complete deployment of the technology. Thus, increasing interest is dedicated to ste-reo 3DTV formats compatible with current HDTV video equipment and infrastructure, as they may greatly encourage 3D acceptance. In this paper, different subsampling schemes for HDTV compatible transmission of both progressive and interlaced stereo 3DTV are studied and compared. The frequency characteristics and preserved frequency content of each scheme are analyzed, and a simple interpolation filter is specially designed. Finally, the advantages and disadvantages of the different schemes and filters are evaluated through quality testing on several progressive and interlaced video sequences
Moving Object Detection for Real-Time High-Quality Lightweight Applications on Smart Cameras
Here, a novel and efficient strategy for moving object detection by non-parametric modeling on smart cameras is presented. Whereas the background is modeled using only color information, the foreground model combines color and spatial information. The application of a particle filter allows the update of the spatial information and provides a priori information about the areas to analyze in the following images, enabling an important reduction in the computational requirements and improving the segmentation result
Temporal segmentation tool for high-quality real time video editing software
The increasing use of video editing software requires faster and more efficient editing tools. As a first step, these tools perform a temporal segmentation in shots that allows a later building of indexes describing the video content. Here, we propose a novel real-time high-quality shot detection strategy, suitable for the last generation of video editing software requiring both low computational cost and high quality results. While abrupt transitions are detected through a very fast pixel-based analysis, gradual transitions are obtained from an efficient edge-based analysis. Both analyses are reinforced with a motion analysis that helps to detect and discard false detections. This motion analysis is carried out exclusively over a reduced set of candidate transitions, thus maintaining the computational requirements demanded by new applications to fulfill user needs
Soccer line mark segmentation and classification with stochastic watershed transform
Augmented reality applications are beginning to change the way sports are
broadcast, providing richer experiences and valuable insights to fans. The
first step of augmented reality systems is camera calibration, possibly based
on detecting the line markings of the playing field. Most existing proposals
for line detection rely on edge detection and Hough transform, but radial
distortion and extraneous edges cause inaccurate or spurious detections of line
markings. We propose a novel strategy to automatically and accurately segment
and classify line markings. First, line points are segmented thanks to a
stochastic watershed transform that is robust to radial distortions, since it
makes no assumptions about line straightness, and is unaffected by the presence
of players or the ball. The line points are then linked to primitive structures
(straight lines and ellipses) thanks to a very efficient procedure that makes
no assumptions about the number of primitives that appear in each image. The
strategy has been tested on a new and public database composed by 60 annotated
images from matches in five stadiums. The results obtained have proven that the
proposed strategy is more robust and accurate than existing approaches,
achieving successful line mark detection even in challenging conditions.Comment: 18 pages, 11 figure
Anisotropic thermal magnetoresistance for an active control of radiative heat transfer
We predict a huge anisotropic thermal magnetoresistance (ATMR) in the
near-field radiative heat transfer between magneto-optical particles when the
direction of an external magnetic field is changed with respect to the heat
current direction. We illustrate this effect with the case of two InSb
spherical particles where we find that the ATMR amplitude can reach values of
up to 800% for a magnetic field of 5 T, which is many orders of magnitude
larger than its spintronic analogue in electronic devices. This thermomagnetic
effect could find broad applications in the fields of ultrafast thermal
management as well as magnetic and thermal remote sensing.Comment: 6 pages, 4 figure
Mechanisms for AAA and QoS Interaction
Proceedings of Third IEEE Workshop on Applications and Services in Wireless Networks, ASWN 2003. Bern, Switzerland, July 2-4, 2003.The interaction between Authentication, Authorization and Accounting (AAA) systems and the Quality of Service (QoS) infrastructure is to become a must in the near future. This interaction will allow rich control and management of both users and networks. DIAMETER and DiffServ are likely to turn into the future standards in AAA and QoS systems, but they are not designed to interact with each other. To face this, we propose a new Diameter-Diffserv interaction model and describe the Application Specific Module (ASM) implemented to allow this interaction. The ASM has been implemented and tested in a complete AAA-QoS IPv6 scenario
Study of vertical distribution of temperature anomalies in the subtropical troposphere over Canary Islands
ComunicaciĂłn presentada en: EGU General Assembly 2011 celebrada del 3 al 8 de abril en Viena, Austria
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