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Intrinsic signatures for scanned documents forensics : Effect of font shape and size

Intrinsic signatures for scanned documents forensics : Effec...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Nitin Khanna Edward J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Recently there has been a great deal of interest in using features intrinsic to a data-generating sensor for the purpose of source identification. Numerous methods have been proposed for different problems related to sensor forensics, such as source camera identification using sensor noise as intrinsic signatures, printer identification using banding artifacts as intrinsic signatures and so on. The goal of our work is to identify the scanner used for generating a scanned (digital) version of a printed (hard-copy) document. In this paper we do extensive analysis of the effect of font shape and size on our recently proposed, texture analysis based intrinsic signatures for scanned documents. Some improvements in these intrinsic signatures are proposed to make them robust to font shapes and sizes.

关键词： Forensics Shape Cameras image sensors Support vector machines Support vector machine classification Sensor phenomena and characterization Feature extraction Linear discriminant analysis image generation

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Comparison of voxel-based morphometry (VBM) and tractography of diffusion tensor MRI (DT-MRI) in temporal lobe epilepsy

Comparison of voxel-based morphometry (VBM) and tractography...

引用

2010 18th Iranian Conference on electrical engineering, ICEE 2010

作者： Afzali, Maryam Soltanian-Zadeh, Hamid 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 Health System Detroit MI 48202 United States

ISBN: (纸本)9781424467600

Temporal lobe epilepsy (TLE) is a neurological disease that affects millions of individuals in the world. Majority of TLE patients suffer from refractory seizures. Determining abnormal/damaged regions of the brain that harbor seizure focus is a critical step towards treatment of TLE patients. Diffusion tensor imaging (DTI) is a non-invasive method that we use in this work to determine damaged regions of white matter in the brain. To this end, we apply two methods, voxel based morphometry (VBM) and fiber tracking. We use these methods along with two anisotropy maps (EAR and FA) extracted from the DTI data. We use DTI data of 31 subjects (12 normal subjects and 19 TLE patients) for testing and evaluation studies. The VBM method shows that TLE is associated with reduction of both of FA and EAR values in several regions within the temporal lobes. The tractography method shows abnormal diffusion characteristics in three fiber bundles (fornix, uncinate fasciculus, and cingulum). The results show that the EAR maps are less sensitive to noise than the FA maps and the EAR values change more than the FA values in TLE. ©2010 IEEE.

关键词： Diffusion tensor imaging

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Standoff video analysis for the detection of security anomalies in vehicles

Standoff video analysis for the detection of security anomal...

引用

Applied imagery Pattern Recognition Workshop (AIPR)

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

Video surveillance systems are commonly used by security personnel to monitor and record activity in buildings, public gatherings, busy roads, and parking lots. These systems allow many cameras to be observed by a small number of trained human operators but suffer from potential operator fatigue and lack of attention due to the large amount of information provided by cameras which can distract the operator from focusing on important events. In this paper, we propose the design of an autonomous video surveillance system which can operate from a standoff range that analyzes approaching vehicles in order to detect security anomalies. Such anomalies, based on dynamic analysis of the vehicle tracks, include unexpected slowing/stopping or sudden acceleration, particularly near check points or critical structures (e.g. government buildings). A human supervisor can be alerted whenever a significant event is detected and can then determine if the vehicle should be further inspected. Besides dynamic analysis, the system also estimates physical information about the vehicles such as make, body type and tire size. We describe low-complexity techniques to obtain the above information from two cameras.

关键词： Vehicles Tires Cameras Pixel Monitoring Wheels Trajectory

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A four-description MDC for high loss-rate channels

A four-description MDC for high loss-rate channels

引用

Picture Coding Symposium, PCS

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

One of the most difficult problems in video transmission is communication over error-prone channels, especially when retransmission is unacceptable. To address this problem, Multiple Description Coding (MDC) has been proposed as an effective solution due to its robust error resilience. Considering applications in scalable, multicast and P2P environments, it is advantageous to use more than two descriptions (which is designated multi-description MDC in this paper). In this paper, we present a new four-description MDC for high lossrate channel using a hybrid structure of temporal and spatial correlations. 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： Correlation image coding Video coding Propagation losses Decoding Encoding Streaming media

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Automatic mask creation and feature analysis for detectionof IVDD in canines

Automatic mask creation and feature analysis for detectionof...

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International Conference on computer Sciences and Convergence Information Technology (ICCIT)

作者： Jakia Afruz Jesse Phelps Scott E Umbaugh Dominic J. Marino Catherine A. Loughin Computer Vision and Image Processing Laboratory Electrical and Computer Engineering Southern Illionis University Edwardsville Edwardsville IL USA Long Island Veterinary Specialists Plainview NY USA

Intervertebral disc disease (IVDD) is a condition that affects both humans and canines. This disease is painful and degrades the quality of life for those that suffer from it. The current diagnostic methods for this disease are Magnetic Resonance Imaging (MRI) and/or Computed Axial Tomography (CAT scan). Both of these diagnostic methods are expensive and time consuming and involve patients being exposed to radiation and strong magnetic fields. In canines in particular, the amount of time it takes to perform one of these scans makes it necessary to sedate the animal as the patient needs to be still during the diagnostic procedure. Use of thermographic imaging for diagnosis, or at least prescreening, patients for IVDD will save money, time and possibly prevent needless radiation exposure. This paper attempts to show that thermal imaging of patients that are candidates for IVDD may be used diagnostically or as a prescreening method.

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Improved learning in grid-to-grid neural network via clustering

Improved learning in grid-to-grid neural network via cluster...

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International Joint Conference on Neural Networks (IJCNN)

作者： W. White K. Iftekharuddin A. Bouzerdoum Intelligent Systems and Image Processing Laboratory Department of Electrical and Computer Engineering University of Memphis TN USA Department of Electrical and Computer Engineering University of Memphis TN USA School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong NSW Australia

The maze traversal problem involves finding the shortest distance to the goal from any position in a maze. Such maze solving problems have been an interesting challenge in computational intelligence. Previous work has shown that grid-to-grid neural networks such as the cellular simultaneous recurrent neural network (CSRN) can effectively solve simple maze traversing problems better than other iterative algorithms such as the feedforward multi layer perceptron (MLP). In this work, we investigate improved learning for the CSRN maze solving problem by exploiting relevant information about the maze. We cluster parts of the maze using relevant state information and show an improvement in learning performance. We also study the effect of the number of clusters on the learning rate for the maze solving problem. Furthermore, we investigate a few code optimization techniques to improve the run time efficiency. The outcome of this research may have direct implication in rapid search and recovery, disaster planning and autonomous navigation among others.

关键词： Euclidean distance Kalman filters Training Navigation Artificial neural networks Testing

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Implementation and analysis of integration GSM/GPRS modem in a TMS320VC6713 digital signal processor for vehicle location

Implementation and analysis of integration GSM/GPRS modem in...

引用

International Conference on computer and Communication engineering, ICCCE

作者： H. A. Rahim R. B. Ahmad A. S. M. Zain U. U. Sheikh School of Computer and Communication Engineering Universiti Malaysia Pedis Kangar Perlis Malaysia Computer Vision Video and Image Processing Research Laboratory (CVVIP) Department of Microelectronics and Computer Engineering Universiti Teknologi Malaysia Johor Bahru Johor Malaysia

The rapidly evolving wireless communications environment and 3G, where the standard are constantly created and modified, has given rise to the integration of GPS (Global Positioning System) and GSM (Global System for Mobile Communication). This integration has been widely applied in many disciplines including Intelligent Transportation System (ITS) and Logistic Management to aid the users to locate their vehicles remotely. Further on, the fast growth of city transportation also has stimulated the development of VMS where it is recognized as one of the major components of ITS. However, this system is rarely being implemented on embedded system using DSP processor. Thus, this paper discusses design and implementation of GSM/GPRS integration in a TMS320VC6713 for Vehicle Location that permits users to communicate with their vehicles via a Short Message Service (SMS). This system provides an alternative solution to solve vehicle theft and hijacking problems where the system is able track the real-time moving car location by using cellular phone. The system performance analysis has been carried out where the executions of three functions have been measured in clock cycles.

关键词： GSM Digital signal processing Global Positioning System Vehicles Ground penetrating radar Modems Monitoring

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A LOW COMPLEXITY METHOD FOR DETECTION OF TEXT AREA IN NATURAL imageS

A LOW COMPLEXITY METHOD FOR DETECTION OF TEXT AREA IN NATURA...

引用

IEEE International Conference on Acoustics, Speech, and Signal processing

作者： Katherine L. Bouman Golnaz Abdollahian Mireille Boutin Edward J. Delp Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

ISBN: (纸本)9781424442959

We propose a low complexity method for segmentation of text regions in natural images. This algorithm is designed for mobile applications (e.g. unmanned or hand-held devices) in which computational and energy resources are limited. No prior assumption is made regarding the text size, font, language, character set or the camera angle. However, the text is assumed to be located on a piecewise homogeneous background with a contrasting color. We have deployed our method on a Nokia N800 Internet tablet as part of a system for automatic detection and translation of outdoor signs. Our experiments show that the 0.3 megapixel images taken by the phone camera can be accurately segmented within the device in a fraction of a second.

关键词： Text Detection Text Segmentation Sign Detection Mobile Devices Mobile devices text segmentation images lens angle hand-held equipment Mobile Applications UNMANNED automatic detection Energy sources

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An adapted point based tracking for vehicle speed estimation in linear spacing

An adapted point based tracking for vehicle speed estimation...

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International Conference on computer and Communication engineering, ICCCE

Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing video cameras. In this paper, we propose a vehicle speed estimation method from video analysis. The method proposed contains several steps; image preprocessing, centroid extraction and tracking. The proposed method transforms the 2D image points into a 3D virtual world to obtain actual vehicle position in 3D space. This is to account for perspective distortion commonly seen in images. Using these 3D points and measuring the time for displacement, the vehicle speed is obtained. Experimental results have shown that the proposed method gives accurate velocity estimation.

关键词： Vehicles Estimation Surveillance Tracking Pixel Cameras Three dimensional displays

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Comparison of voxel-based morphometry (VBM) and tractography of diffusion tensor MRI (DT-MRI) in temporal lobe epilepsy

Comparison of voxel-based morphometry (VBM) and tractography...

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Iranian Conference on electrical engineering (ICEE)

作者： Maryam Afzali Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA

ISBN: (纸本)9781424467600

关键词： Tensile stress Magnetic resonance imaging Diffusion tensor imaging Temporal lobe Epilepsy Ear Optical fiber testing Diseases Focusing Medical treatment

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