976 research outputs found

    A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior

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    ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.DOI: 10.1109/TIP.2007.894244Tracking deforming objects involves estimating the global motion of the object and its local deformations as functions of time. Tracking algorithms using Kalman filters or particle filters (PFs) have been proposed for tracking such objects, but these have limitations due to the lack of dynamic shape information. In this paper, we propose a novel method based on employing a locally linear embedding in order to incorporate dynamic shape information into the particle filtering framework for tracking highly deformable objects in the presence of noise and clutter. The PF also models image statistics such as mean and variance of the given data which can be useful in obtaining proper separation of object and backgroun

    A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors

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    ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.DOI: 10.1109/TPAMI.2007.70774Segmentation involves separating an object from the background in a given image. The use of image information alone often leads to poor segmentation results due to the presence of noise, clutter or occlusion. The introduction of shape priors in the geometric active contour (GAC) framework has proved to be an effective way to ameliorate some of these problems. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, using level-sets. Following the work of Leventon et al., we propose to revisit the use of PCA to introduce prior knowledge about shapes in a more robust manner. We utilize kernel PCA (KPCA) and show that this method outperforms linear PCA by allowing only those shapes that are close enough to the training data. In our segmentation framework, shape knowledge and image information are encoded into two energy functionals entirely described in terms of shapes. This consistent description permits to fully take advantage of the Kernel PCA methodology and leads to promising segmentation results. In particular, our shape-driven segmentation technique allows for the simultaneous encoding of multiple types of shapes, and offers a convincing level of robustness with respect to noise, occlusions, or smearing

    Statistical Shape Analysis using Kernel PCA

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    ©2006 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1117/12.641417DOI:10.1117/12.641417Presented at Image Processing Algorithms and Systems, Neural Networks, and Machine Learning, 16-18 January 2006, San Jose, California, USA.Mercer kernels are used for a wide range of image and signal processing tasks like de-noising, clustering, discriminant analysis etc. These algorithms construct their solutions in terms of the expansions in a high-dimensional feature space F. However, many applications like kernel PCA (principal component analysis) can be used more effectively if a pre-image of the projection in the feature space is available. In this paper, we propose a novel method to reconstruct a unique approximate pre-image of a feature vector and apply it for statistical shape analysis. We provide some experimental results to demonstrate the advantages of kernel PCA over linear PCA for shape learning, which include, but are not limited to, ability to learn and distinguish multiple geometries of shapes and robustness to occlusions

    Tamil Classical Foundations in Ezhuthachan Ramayana

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    Morality has been talked about at various levels as a part of culture, a weapon of the dominant society and a life guide to the way of life that guides human society. The adhyatma ramayanam-kilippattu, written in Malayalam, is taken as the site of the book, which is written in Malayalam, in view of the impact of the ethics spoken on the Tamil cultural plane. The source of the Ramayana is the adhyatma Ramayana in Sanskrit.  Similarly, Sanskrit is the source of the Ramayanas that arose in Tamil. Therefore, considering that the influence of the original language is inevitable that it is inevitable that it will be included in the copies that follow it, it is here that the book of Etiquette is primarily meant to carry out the search for Sanskrit ethics. Similarly, thirukkural is primarily concerned with the search for Dravidian morality. This article is designed to show that whatever is beneficial to many is done as a modern moral, although various ethical ideas are spoken of at various levels

    Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow

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    ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.DOI: 10.1109/TIP.2007.908073This paper addresses the problem of image segmentation by means of active contours, whose evolution is driven by the gradient flow derived froman energy functional that is based on the Bhattacharyya distance. In particular, given the values of a photometric variable (or of a set thereof), which is to be used for classifying the image pixels, the active contours are designed to converge to the shape that results in maximal discrepancy between the empirical distributions of the photometric variable inside and outside of the contours. The above discrepancy is measured by means of the Bhattacharyya distance that proves to be an extremely useful tool for solving the problem at hand. The proposed methodology can be viewed as a generalization of the segmentation methods, in which active contours maximize the difference between a finite number of empirical moments of the "inside" and "outside" distributions. Furthermore, it is shown that the proposed methodology is very versatile and flexible in the sense that it allows one to easily accommodate a diversity of the image features based on which the segmentation should be performed. As an additional contribution, a method for automatically adjusting the smoothness properties of the empirical distributions is proposed. Such a procedure is crucial in situations when the number of data samples (supporting a certain segmentation class) varies considerably in the course of the evolution of the active contour. In this case, the smoothness properties of the empirical distributions have to be properly adjusted to avoid either over- or underestimation artifacts. Finally, a number of relevant segmentation results are demonstrated and some further research directions are discussed

    Performance Analysis of Mixed Line Rate Optical WDM Networks under Link Failure

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    Due to heterogeneous traffic in next generation Mixed Line Rate (MLR) networks are capable of delivering different bandwidth in a flexible manner. In this paper a simple routing algorithm is proposed to study the case of any link failure in MLR WDM networks. Here Poisson random traffic is used as a dynamic traffic for 24-hour duration. The proposed work can be achieved by deleting the failed link and then finding the new best possible shortest path between source and destination node. According to the traffic load light paths adjustments employ the addition of light paths under congestion and deletion of lightpaths which are not being used at a particular time. Simulation result shows the total number of lightpaths used, total number of addition and deletion of light paths under link safe and link failure case in mixed line rate (MLR) and single line rate (SLR) optical WDM networks

    Comparative Experimental Study on Torsional Behavior of RC Beam Using CFRP and GFRP Fabric Wrapping

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    AbstractFiber reinforced polymer (FRP) as an external reinforcement is used extensively to enhance the strength requirement related to flexure and shear in structural systems. But the strengthening of members subjected to torsion is yet to be explored as Torsion failure is a brittle form of failure. In present experimental study deals with the torsional strengthening of Reinforced Concrete beams using epoxy bonded Fiber- Reinforced Polymer (FRP) fabric. Total Thirty nine rectangular beams of size 150mm × 300mm and 1200 in length are casted. Out of which, three beams are control beam and remaining thirty six beams are classified into two groups. One with CFRP fabric wrapping and another with GFRP fabric wrapping. With various wrapping patterns. The applied CFRP and GFRP configurations are U-jacketed, vertical strips with spacing, and edge strips along with vertical strips along its entire length. Torsional capacity of beams of two groups is compared with control specimen with respect to torsional moment, angle of twist and ductility factor and it was observed that CFRP fabric bonded beam shows more torsional strength than the GFRP bonded beam

    Prevalence of smokers among air-conditioned coaches, Pakistan

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    Objective: To estimate the proportion of smokers among passengers of air-conditioned (A/C) coaches running between Karachi and Hyderabad. Pakistan.METHOD: A cross-sectional survey was done on passengers and staff members of 20 air-conditioned coaches.Results: Of 847 passengers interviewed, 17.3% were smokers and 11.7% passengers smoked during travel while rest of them remained passive smokers. Out of 147 smokers 91.2% were literate persons. Among staff members 59.3% were smokers. Approximately 56% of smokers among passengers were in the age range of 14-40 years. In 95% of A/C coaches there were no anti-smoking warning signs or written words present.CONCLUSION: In this study majority of smokers were literate, so inter-personal communication and counseling may change the smoking behavior. Ministry of Health should disseminate educational messages regarding hazards of passive smoking among commuters of AC coaches and above all proper implementation of legislation for smoking at public places especially in transport

    Effect of physical and chemical treatments on breaking the seed dormancy of Caesalpinia bonduc (L.) Roxb.

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    Caesalpinia bonduc (L.) Roxb. is a medicinal plant belonging to the family Caesalpiniaceae was used for the present study. It is a prickly shrub widely distributed all over the world. Keeping the economic and social medicinal uses of C. bonduc seeds are being used widely in Folk, Ayurvedha, Siddha, Unani medicines to treat skin disease, eyesores, cancer, asthma, tuberculorosis, fever, toothaches etc. The aim of this study is to determine the requirements for breaking seed dormancy and germination of C. bonduc. The germination is prevented due to hard seed coat. C. bonduc seeds were experimented with various physical and chemical treatments to break the dormancy. The seeds were subjected to various treatments like mechanical scarification, dry heat method, light, hot water, acid scarification, inorganic compounds, plant growth regulators etc. The seeds treatment with mechanical scarification at 50, 40 and 30 seconds showed 100%, 80% and 10% of germination, whereas no changes was observed in dry heat. White light treatment showed 100% germination at 48 hrs, whereas darkness and red light showed least germination of about 10%. The hot-water treatment showed 100% germination. In chemical treatments, concentrated sulphuric acid scarification showed highest germination percentage, whereas lowest germination was found in nitric acid. Among the plant growth regulators, Gibberellic acid showed 100% germination whereas 2-isopentyl adenine showed least germination of 10% at 50 ppm. Results of this study prove that mechanical scarification was the most effective treatment to overcome dormancy of seeds in C. bonduc

    A Study to assess the effectiveness of nutrition ball to increase haemoglobin level among adolescent girls with anaemia in selected villages at Kanyakumari District

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    INTRODUCTION: Anaemia is a condition that develops when your blood lacks enough healthy red blood cells or haemoglobin. Haemoglobin is a main part of red blood cells and binds oxygen. If you have too few or abnormal red blood cells, or your haemoglobin is abnormal or low the cells in your body will not get enough oxygen. STATEMENT: A study to assess the effectiveness of Nutrition ball to increase Haemoglobin level among adolescent girls with anaemia in selected villages at Kanyakumari district. OBJECTIVES: 1. To assess and compare the pre test and post test level of hemoglobin among adolescent girls in experimental and control group. 2. To find out the effectiveness of nutrition ball in haemoglobin level among adolescent girls with anemia in experimental group. 3. To determine the association between the pre test haemoglobin level among adolescent girls with their selected demographic variables in experimental and control group. RESEARCH METHODOLOGY: The research design adopted for this study was true experimental design. The sample size was 60 was drawn from simple random sampling technique. The feasibility of the study refinement of the tool was assessed through pilot study. The blood haemoglobin level among anaemic adolescent girls was assessed by using haemometer. The data collection for the main study was done from 01-04-2016 to 30-04-2016. Nutrition ball was given for experimental group. Post test was done after intervention period. The data gathered were analyzed by descriptive and inferential statistical method. FINDINGS OF THE STUDY: In Experimental group the mean score on level of anemia was 9.8 in pre test and 12.4 in post test. The paired ‘t’ value was 9.25* which is significant at p > 0.05. It shows that nutrition ball was effective in improving the level of haemoglobin. Hence the research hypothesis (H1) is accepted. In Control group the mean score on level of haemoglobin was 8.7 in pre test and 8.8 in post test. The paired ‘t’ value was 5.20* which is significant at p > 0.05. It shows that nutrition ball was effective in increasing the haemoglobin level. The mean score on level of haemoglobin in Experimental group was 12.4 in post test and 8.8 in Control group post test. The estimated 't’ value was 15.24*which is significant at p > 0.05. It shows that Nutrition ball was effective in increasing the haemoglobin level. there is no significant association (p < 0.05) between the anemia and demographic variables of adolescents in experimental and control group. Hence the research hypothesis H2 rejected. CONCLUSION: The study inference revealed that regular practice of nutrition ball could bring out desired increasing in the haemoglobin level among adolescent girls with anemia
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