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检索条件"机构=Computer Vision and Image Processing Laboratory Electrical and Computer Engineering"

共 783 条记录，以下是281-290 订阅

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Color correction for object tracking across multiple cameras

Color correction for object tracking across multiple cameras

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Satyam Srivastava Ka Ki Ng Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

ISBN: (纸本)9781457705380

Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equipment, the reliability of color features decreases as the object moves through regions observed with different cameras and with different illumination conditions. Typically, this issue is addressed using alternative color spaces or highly simplified color transformation. In this paper, we propose a more methodical approach to achieving color consistency using colorimetric principles. We model the image analysis system as an observer and develop camera-specific transformations so that images of the same object appear similar to this observer. The transformations thus developed are approximated with 3D look-up tables for fast operation. Experimental results show improved color consistency even under two very different illumination conditions. The results are evaluated both qualitatively and in terms of the effect on a particle filter based object tracker.

关键词： image color analysis Cameras Lighting Table lookup Transforms Three dimensional displays

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Video coding: Death is not near

Video coding: Death is not near

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International Symposium on Electronics in Marine (ELMAR)

作者： Meilin Yang Ye He Fengqing Zhu Marc Bosch Mary Comer Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Efficient compression and network compatibility are two challenging tasks for video coding. This paper provides an overview of advanced techniques for the next generation video coding including high efficiency video coding, content-based video coding, distributed video coding, scalable video coding and multiple description video coding.

关键词： Video coding Encoding Decoding image coding Static VAr compensators Transforms Complexity theory

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An adaptable spatial-temporal error concealment method for Multiple Description Coding based on error tracking

An adaptable spatial-temporal error concealment method for M...

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IEEE International Conference on image processing

作者： Meilin Yang Mary L. Comer Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Multiple Description Coding (MDC) is one of the most efficient methods to combat error-prone channels especially when retransmission is unacceptable. In applications involving scalable, multicast and P2P environments, it is advantageous to use more than two descriptions. In this paper, we present an adaptable temporal-spatial error concealment method based on error tracking to improve the performance of MDC. A Gilbert model is used as the channel model for burst packet loss simulation. Experimental results demonstrate the efficacy of the proposed method.

关键词： Decoding image coding Conferences Bridges Encoding Correlation

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Crowd flow estimation using multiple visual features for scenes with changing crowd densities

Crowd flow estimation using multiple visual features for sce...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Satyam Srivastava Ka Ki Ng Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

Crowd estimation and monitoring is an important surveillance task. We address the problem of estimating the “flow,” that is the number of persons passing a designated region in a unit time. We designate an area of the scene as a virtual trip wire and accumulate the total number of foreground pixels (in the trip wire) over a chosen time period. We show that cumulative pixel count is related to the number of persons passing through the trip-wire by a scale factor. This scale factor is highly sensitive to the “crowdedness” (levels of crowd density) of the scene which creates different levels of occlusion of the individuals walking/passing through the trip-wire. We use texture features to determine the crowdedness and choose the most appropriate scaling factor. Our method does not require detection and tracking of individuals and is robust to scene dynamics, background subtraction errors, and different crowd levels.

关键词： Wires Estimation Training Feature extraction Mathematical model Robustness Testing

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Superiority of the 3rd order approximation model to the 2nd order in Diffusion Kurtosis Imaging

Superiority of the 3rd order approximation model to the 2nd ...

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作者： Iraji, Armin Davoodi-Bojd, Esmaeil Soltanian-Zadeh, Hamid Hossein-Zadeh, Gholam-Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9789644634284

For estimating the kurtosis parameter in Diffusion Kurtosis Imaging (DKI), usually second order expansion of the diffusion signal is used in conventional acquisition data. However, in this work, we show that this is not sufficient and should be reconsidered. Instead of using the second order expansion, we propose to use the third order expansion. At first, we show that the third order term of the Taylor's expansion has considerable values compared to second and first terms for the conventional b-values used in DKI. Then, for proving our claim empirically, we use real data to compare the proposed model with the previous one. To this end, five regions of the brain are extracted and for each region the fitting errors of both models are computed. The results confirm that the fitting error of the third order model is always (for all regions) less than the second order model. Although the improvement of the fitting error seems to be small, but considering the sensitivity analysis, this improvement can enhance the estimation of kurtosis. The resulting maps of the kurtosis parameter show this enhancement. The white matter in the map of third order model is more distinguishable than in the other model. © 2011 AmirKabir Univ of Tech.

关键词： Diffusion

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A new segmentation and registration approach for vertebral body analysis

A new segmentation and registration approach for vertebral b...

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IEEE International Symposium on Biomedical Imaging

作者： Melih S. Aslan Asem Ali Aly A. Farag Hossam Abdelmumin Ben Arnold Ping Xiang Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Computer and Systems Engineering Department Ain Shams University Cairo Egypt Image Analysis Inc. Columbia KY USA

To diagnose the osteoporosis accurately, the bone mineral density (BMD) measurements of the vertebral bodies (VBs) are required. In this paper, we propose a new segmentation and registration method in order to assist the BMD measurements and fracture analysis (FA) accurately. In this experiment, image appearance and shape information of VBs are used. Our shape model is required to be registered to the testing image to avoid user interaction(s). Our proposed framework has four phases: i) the detection of vertebral body (VB) using the Matched filter, ii) initial segmentation using the intensity and spatial interaction models, iii) the registration of the shape prior and initially segmented image by matching a vector distance function (VDF), and iv) final segmentation using graph cuts which integrates intensity, spatial interaction and shape prior. Preliminary results show that our new algorithm is very promising and can solve many segmentation and registration problems.

关键词： Shape image segmentation Three dimensional displays Computed tomography Bones Labeling image color analysis

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A method for translating printed documents using a hand-held device

A method for translating printed documents using a hand-held...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Albert Parra Pozo Andrew W. Haddad Mireille Boutin Edward J. Delp Video and Image Processing Lab (VIPER) Computarional Imaging Lab (CIL) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

We have developed a system to translate and interpret printed documents (such as periodicals) using a commercially available mobile device (e.g., a mobile telephone) with an embedded camera. The system comprises an automatic layout analysis tool along with an Optical Character Recognition (OCR) engine and a translation engine. The translation engine combines Rule-Based Machine Translation (RBMT) software, a list of context-sensitive words/phrases, and an encyclopedia for a list of words. We implemented the proposed system on a Nokia N900 smartphone for translating newspaper articles from Spanish to English. Our tests show that the accuracy and speed of the system is mostly influenced by the accuracy and speed of the OCR method used. Our application requires 19.43 MB of memory and no more than 28 MB of dynamic memory. We show the ability to complete the process for roughly 410 words in as little as 65 seconds for high accuracy or 17 seconds for high speed, on average. The energy consumption in both cases is minimal.

关键词： Databases Optical character recognition software Accuracy Layout Graphical user interfaces Engines Encyclopedias

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A hand-held multimedia translation and interpretation system for diet management

A hand-held multimedia translation and interpretation system...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Albert Parra Pozo Andrew W. Haddad Mireille Boutin Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Computational Imaging Laboratory (CIL) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

We propose a system for helping individuals who follow a medical diet maintain this diet while visiting countries where a foreign language is spoken. Our focus is on diets where certain foods must either be restricted (e.g., metabolic diseases), avoided (e.g., food intolerance or allergies), or preferably consumed for medical reasons. However, our framework can be used to manage other diets (e.g., vegan) as well. The system is based on the use of a hand-held multimedia device such as a PDA or mobile telephone to analyze and/or disambiguate the content of foods offered on restaurant menus and interpret them in the context of specific diets. The system also provides the option to communicate diet-related instructions or information to a local person (e.g., a waiter) as well as obtain clarifications through dialogue. All computations are performed within the device and do not require a network connection. Real-time text translation is a challenge. We address this challenge with a light-weight, context-specific machine translation method. This method builds on a modification of existing open source Machine Translation (MT) software to obtain a fast and accurate translation. In particular, we describe a method we call n-gram consolidation that joins words in a language pair and increases the accuracy of the translation. We developed and implemented this system on the iPod Touch for English speakers traveling in Spain. Our tests indicate that our translation method yields the correct translation more often than general purpose translation engines such as Google Translate, and does so almost instantaneously. The memory requirements of the application, including the database of picture, are also well within the limits of the device.

关键词： Databases Accuracy Context Training Engines Random access memory Google

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Combining global and local features for food identification in dietary assessment

Combining global and local features for food identification ...

引用

IEEE International Conference on image processing

作者： Marc Bosch Fengqing Zhu Nitin Khanna Carol J. Boushey Edward J. Delp School of Electrical and Computer Engineering Video and Image Processing Laboratory USA Department of Foods and Nutrition Purdue University West Lafayette IN USA

Many chronic diseases, such as heart diseases, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing methods to use image analysis tools for the identification and quantification of food consumed at a meal. In this paper we describe a new approach to food identification using several features based on local and global measures and a “voting” based late decision fusion classifier to identify the food items. Experimental results on a wide variety of food items are presented.

关键词： image color analysis Visualization Feature extraction image segmentation Color Conferences Vectors

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Assessing lung volumetric variation to detect and stage COPD

Assessing lung volumetric variation to detect and stage COPD

引用

2011 1st Middle East Conference on Biomedical engineering, MECBME 2011

作者： Hosseini, M. Parsa Soltanian-Zadeh, Hamid Akhlaghpoor, Shahram Department of Electrical Engineering Islamic Azad University Science and Research Branch of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Radiology Tehran University of Medical Sciences Sina Hospital Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) is a devastating disease. In this paper, we propose a novel method for scoring of air trapping in the lungs for detection and evaluation of COPD. The proposed method finds volumetric changes of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration are compared. For this comparison, the lungs parenchyma in the inspiration and expiration images are found and changes in the surface and volume of the lungs between inspiration and expiration are used to define quantitative measures (features). Using these features, the subjects are classified into two groups of normal class and COPD patients using a Bayesian classifier. In addition, t-tests are applied to evaluate discrimination powers of the features for this classification. The main advantage of the proposed method is its ability to estimate air trapping in the lungs from CT images without human intervention. The proposed method may assists radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. It may also assist them with the scoring of the disease (severity of air trapping in the lungs). © 2011 IEEE.

关键词： computerized tomography

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