S-4B orbital workshop attitude control system study

Saturn S-4B orbital workshop attitude control system analysi

Shadow Detection by Combined Photometric Invariants for Improved Foreground Segmentation

Detection and tracking of moving objects are the essential steps of many video understanding applications such as traffic monitoring, video surveillance and visual event recognition. Moving object detection process segments the scene into foreground (moving) and background regions. Moving cast shadows cause serious problems in this process because they can easily be misclassified as foreground. This misclassification may lead to drastic changes in the shapes of objects or merging of multiple objects. in this paper, we present a method to detect moving cast shadows to improve the performance of moving object detection. the foreground regions are processed in terms of intensity, chromaticity, and reflectance ratio. to further refine the results, compactness constraint is enforced on the foreground and shadow masks. the algorithm exploits spatial and spectral information; no a priori knowledge about camera, illumination or object/scene characteristics are required. Obtained results show better performance compared to other work in recent literature

A Framework for Trajectory based Visual Event Retrieval

This paper presents a framework of a system for the query and retrieval of video data based on video events in huge video repositories. the events are formulated using domain-independent event primitives which are represented by spatio-temporal relationships between objects in the video scenes. Complex events are expressible as combinations of simpler events. This facilitates support of event queries from a variety of points of view. in addition, the framework is expected to provide adaptability of the framework to multiple domains

A Multi-Hypothesis Approach for Salient Object Tracking in Visual Surveillance

In this paper, a multiple object tracking method for visual surveillance applications is presented. Moving objects are detected by adaptive background subtraction and tracked by using a multi-hypothesis testing approach. Object matching between frames is done based on proximity and appearance similarity. a new confidence measure is assigned to each possible match. This information is arranged into a graph structure where vertices represent blobs in consecutive frames and edges represent match confidence values. This graph is later used to prune and refine trajectories to obtain the salient object trajectories. Occlusions are handled through position prediction using Kalman filter and robust color similarity measures. Proposed framework is able to handle imperfections in moving object detection such as spurious objects, fragmentation, shadow, clutter and occlusions. © 2005 IEEE

Maintaining Trajectories of Salient Objects for Robust Visual Tracking

This paper presents a robust approach to track multiple objects for low resolution, far-field visual surveillance applications. Multiple moving objects are detected by utilizing an adaptive background model and tracked by resolving the correspondence between their trajectory segments using proximity and appearance similarity measures. a new confidence measure is assigned to each possible match between objects and this information is maintained by a graph structure. This graph is utilized to prune and refine the trajectories. Kalman filter is used to handle discontinuities and occlusions. Proposed approach handles problems such as spurious objects, fragmentation, shadow, clutter and occlusions. © Springer-Verlag Berlin Heidelberg 2005

Stromal-epithelial separation for breast cancer tissue microarrays from histopathology

<p>Poster from:</p> <p>V. B. S. Prasath, F. Bunyak, Paul S. Dale, Shellaine R. Frazier, K. Palaniappan. <em>Stromal-Epithelial Separation for Breast Cancer Tissue Microarrays from Histopathology</em>. Missouri Life Sciences Week, April 2014.</p> <p> </p> <p>This poster is related to the following paper:</p> <p>V. B. S. Prasath, F. Bunyak, Paul S. Dale, Shellaine R. Frazier, K. Palaniappan. <strong>Segmentation of Breast Cancer Tissue Microarrays for Computer-Aided Diagnosis in Pathology</strong>. First IEEE Healthcare Technology Conference: Translational Engineering in Health & Medicine (IEEE HIC 2012), Houston TX, USA.</p

The effect of calcineurin inhibitors on endothelial function in renal transplant recipients

Endothelial dysfunction is of vital importance, as it may cause ischemia and dysfunction in various organs. Despite, this problem has been well documented in patients with end-stage renal disease (ESRD), there is not enough data considering this issue following renal transplantation. One of the potential causes of endothelial dysfunction in renal transplant recipients may be administration of calcineurin inhibitors. The aim of this study is to evaluate the effects of two different calcineurin inhibitors [cyclosporin A (CsA) and tacrolimus (FK506)] on endothelial function in renal transplant patients. Forty-four renal transplant recipients [22 on FK506 (group I) and 22 on CsA (group II)] were studied. Endothelial functions of the brachial artery were evaluated by using high resolution vascular ultrasound. Endothelium-dependent and -independent vasodilations were assessed by establishing reactive hyperemia and using sublingual nitroglycerine (NTG), respectively. Results are presented as percentage change from baseline values. Significant endothelial dysfunction was noted in renal transplant patients treated with CsA. While endothelium-dependent vasodilation was 12.1+/-5.1% in group I and it was 6.5+/-3.7% in group II (p0.05). Post-transplant course of renal transplant recipients is complicated by endothelial dysfunction. This problem is more prominent in patients on CsA therapy, which can predispose these patients to more frequent cardiac complications