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检索条件"主题词=Detection and tracking algorithms"

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Biomimetic Novelty detection

Biomimetic Novelty Detection

引用

Conference on Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII

作者： Ma, Lein W. Szu, Harold Univ Wisconsin Dept Biomed Engn Madison WI 53706 USA US Army RDECOM CERDEC NVESD Modeling & Simulat Div Human Signature Exploitat Branch Ft Belvoir VA USA

ISBN: (纸本)9780819481672

In the crowded rain forest, how do animals locate camouflaged prey that resemble the environment, such as walking sticks? Birds will observe the suspected stick over a period of time to determine if its behavior matches that of a tree. If the stick's behavior exceeds normal tree behavior, such as moving faster than the other branches, the bird will determine that it is actually a walking stick and not a tree branch. Once this determination is made, they will prey on the insect. Studying this natural process of novelty detection, present in a variety of animals from birds to turkey vultures, can be beneficial for numerous human applications. The spatiotemporal novelty detector will be developed using self-referencing matched filters to go beyond auto-regression. This algorithm is more than the usual change detector for it will detect a novelty behavior that exceeds its predicted value based on past data, e. g. the bird who identifies a walking stick in the forest. A scalar model is presented;however, the application can be expanded to multiple modalities for more detailed applications. Some of these applications include gas pipeline leak detection, persistent surveillance, and the creation of a smart sensor web.

关键词： Sensors Climate change Environmental sensing Independent component analysis detection and tracking algorithms Methane Surveillance Biomimetics Machine learning Autoregressive models

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NONLINEARITY IN SCANNING ELECTRON-MICROSCOPE CRITICAL DIMENSION MEASUREMENTS INTRODUCED BY THE EDGE-detection ALGORITHM 7

NONLINEARITY IN SCANNING ELECTRON-MICROSCOPE CRITICAL DIMENS...

引用

7TH ANNUAL CONF ON INTEGRATED CIRCUIT METROLOGY, INSPECTION, AND PROCESS CONTROL

作者： HERSHEY, RR WELLER, MB Motorola Inc. (United States)

ISBN: (纸本)0819411604

This paper discusses nonlinear behavior in SEM CD measurements stemming from the interaction of the edge detection algorithm and systematic changes in the appearance of the secondary electron signal. A first-order theory is developed which describes the effect of changes in apparent sidewall slope and baseline level on common edge detection algorithms. Specifically the theory predicts nonlinear behavior for linear approximation and threshold edge detection algorithms. Experimental verification of the effect is presented. Systematic increases in linewidth of 10% are frequently encountered in practice when making measurements in the sub 0.75 micrometers regime.

关键词： Edge detection detection and tracking algorithms Scanning electron microscopy Signal processing Algorithm development Electron microscopes Photomicroscopy Signal detection algorithms Nonlinear optics

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A Semi-Automatic Traffic Sign detection, Classification and Positioning System

A Semi-Automatic Traffic Sign Detection, Classification and ...

引用

Conference on Visual Information Processing and Communication III

作者： Creusen, I. M. Hazelhoff, L. De With, P. H. N. Cyclomedia Technol Waardenburg Netherlands

ISBN: (纸本)9780819489524

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introduces a complete semi-automatic traffic sign inventory system. The system consists of several components. First, a detection algorithm locates the 2D position of the traffic signs in the panoramic images. Second, a classification algorithm is used to identify the traffic sign. Third, the 3D position of the traffic sign is calculated using the GPS position of the photographs. Finally, the results are listed in a table for quick inspection and are also visualized in a web browser.

关键词： Panoramic photography detection and tracking algorithms Photography Visualization Classification systems Global Positioning System Associative arrays Feature extraction Inspection Safety

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INSPECTION OF TIRE TREAD DEFECTS USING IMAGE-PROCESSING AND PATTERN-RECOGNITION TECHNIQUES

INSPECTION OF TIRE TREAD DEFECTS USING IMAGE-PROCESSING AND ...

引用

Conference on Vision, Sensors, and Control for Automated Manufacturing Systems

作者： CHEN, P SHUBINSKY, G JAN, KH CHEN, CA SIDLA, O POLZLEITNER, W NORTHWESTERN UNIV BIRLEVANSTONIL 60201

ISBN: (纸本)0819413283

An image acquisition and processing algorithm for inspection of tire treads has been developed. The tire treads are flat strips of black rubber material used as the main component in retreading automobile tires. These treads have a complex molded design on one side (DESIGN SIDE) and a flat surface on the other side. The inspection of the Design Side of the tread is one of the key operations in the tread fabrication process impacting quality and consistency of the final product. This paper will discuss development of the main optical inspection algorithms utilized in the system design. The algorithms described in this paper were tested in the laboratory prototype of the inspection system and will be implemented in the final production system.

关键词： Inspection Algorithm development detection and tracking algorithms Image processing Databases Image acquisition Defect detection Defect inspection Pattern recognition Prototyping

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HAND-EYE COORDINATION FOR GRASPING MOVING-OBJECTS

HAND-EYE COORDINATION FOR GRASPING MOVING-OBJECTS

引用

CONF ON SENSOR FUSION 3 : 3-D PERCEPTION AND RECOGNITION

作者： ALLEN, P YOSHIMI, B TIMCENKO, A MICHELMAN, P Columbia Univ. (United States)

ISBN: (纸本)0819404500

Most robotic grasping tasks assume a stationary or fixed object. In this paper, we explore the requirements for grasping a moving object. This task requires proper coordination between at least 3 separate subsystems: dynamic vision sensing, real-time arm control, and grasp control. As with humans, our system first visually tracks the object’s 3-D position. Because the object is in motion, this must be done in a dynamic manner to coordinate the motion of the robotic arm as it tracks the object. The dynamic vision system is used to feed a real-time arm control algorithm that plans a trajectory. The arm control algorithm is implemented in two steps: 1) filtering and prediction, and 2) kinematic transformation computation. Once the trajectory of the object is tracked, the hand must intercept the object to actually grasp it. We present 3 different strategies for intercepting the object and results from the tracking algorithm.

关键词： Cameras Robotics Visualization Optical tracking Control systems Image processing 3D image processing detection and tracking algorithms Sensor fusion Imaging systems

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Fingerprint image enhancement algorithm based on AM-FM model

Fingerprint image enhancement algorithm based on AM-FM model

引用

2nd International Conference on Image and Graphics

作者： Zhang, WW Wang, YS Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing 100080 Peoples R China

ISBN: (纸本)0819446564

Fingerprint enhancement is a key issue in fingerprint minutiae extraction due to various image qualities. Most of exist fingerprint enhancement algorithms need to estimate the ridge orient and ridge distance, which are used to design the enhancement filter. However ridge distance estimation is a rather difficult task due to the fingerprint image quality and singularity, therefore, the ridge distance estimate usually fails in those case and leads to enhancement algorithm failed. In this paper, we propose an AM-FM based fingerprint image enhancement algorithm, which uses a novel Dominate Component Analysis (DCA) technique to estimate the dominate component, and uses band pass filter to enhance those component rather than directly estimate the ridge distance, ridge orientation. Experiment results show that our enhancement algorithm leads to significant image quality improvement as well as the system efficient.

关键词： Image enhancement Image filtering Image quality Image processing algorithms and systems Image segmentation Linear filtering Algorithm development Image processing detection and tracking algorithms Fingerprint recognition

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INITIAL KEY WORD OCR FILTER RESULTS

引用

CONF ON HIGH-SPEED INSPECTION ARCHITECTURES, BARCODING, AND CHARACTER RECOGNITION

作者： CASASENT, D IYER, A RAVICHANDRAN, G Carnegie Mellon Univ. (United States)

ISBN: (纸本)0819404519

Initial simulated optical correlation filter results to locate key words in destination address blocks on machine printed United States Postal Service (USPS) envelope mail are presented. The filters used are SDF MACE G-MACE and MINACE. These filters provide sharp correlation peaks allow controlled tolerance of intra-class (pitch font) variations and improved false class rejection (using symbolic filters).

关键词： Image filtering detection and tracking algorithms Optical character recognition Inspection Gaussian filters Databases Interference (communication) Electronic filtering Target recognition Optical filters

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PRINCIPAL COMPONENT TRAINING OF MULTILAYER PERCEPTRON NEURAL NETWORKS

PRINCIPAL COMPONENT TRAINING OF MULTILAYER PERCEPTRON NEURAL...

引用

1ST CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS

作者： SUN, GC CHENOWETH, DL Univ. of Louisville (United States)

ISBN: (纸本)0819408751

This paper addresses the problem of training a multi-layer perceptron neural network for use in statistical pattern recognition applications. In particular it suggests a method for training such a network which significantly reduces the number of iterations that usually accompanies the use of the back propagation learning algorithm. The use of principal component analysis is proposed, and an example is given that demonstrates significant improvements in convergence speed as well as the number of hidden layer neurons needed, while maintaining accuracy comparable to that of a conventional perceptron network trained using back propagation. The accuracy obtained by the principal component trained network is also compared to that of a Bayes classifier used as a reference for evaluating accuracies. in addition, a cursory examination of the network performance with uniformly distributed feature classes is included. This work is still of a preliminary nature, but the initial examples we have considered suggest the method has promise for statistical classification applications.

关键词： Neural networks Pattern recognition Principal component analysis Chemical elements Artificial neural networks Neurons detection and tracking algorithms Tolerancing Computer engineering Sun

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Effects of target phenomenology on SAR prescreener performance

Effects of target phenomenology on SAR prescreener performan...

引用

Conference on detection and Remediation Technologies for Mines and Minelike Targets X

作者： Ranney, K Sullivan, A Nguyen, L Radzelovage, B Piper, A USA Res Lab Adelphi MD 20783 USA

ISBN: (纸本)0819457795

The Army Research Laboratory has recently collaborated with Raytheon to determine the effects of various target signature phenomena on the performance of a detection pre-screening processing chain. These signature phenomena for plastic mines were predicted by ARL's high fidelity electromagnetic models and then observed in airborne X-band synthetic aperture radar (SAR) data. The agreement of the modeled results with experimental data was then used to guide pre-screener design. In this paper we present predicted plastic mine signatures generated by ARL and compare the results with actual target samples extracted from X-Band SAR data. We then briefly describe the new prescreener algorithm and examine modeling results for other frequency bands in an effort to determine if similar notions can be exploited in these bands as well.

关键词： Synthetic aperture radar detection and tracking algorithms Data modeling Mining Land mines Target detection X band Bandpass filters Magnetism Analytical research

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MATHEMATICAL THEORIES OF SHAPE - DO THEY MODEL PERCEPTION

MATHEMATICAL THEORIES OF SHAPE - DO THEY MODEL PERCEPTION

引用

CONF ON GEOMETRIC METHODS IN COMPUTER VISION

作者： MUMFORD, D Harvard Univ. (United States)

ISBN: (纸本)0819406988

The mathematics of shape has a long history in the fields of differential geometry and topology. But does this theory of shape address the central problem of vision: finding the best data structure plus algorithm for storing a shape and later recognizing the same and similar shapes. Several criteria may be used to evaluate this: does the data structure capture our intuitive idea of 'similarity'? does it allow reconstruction of typical shapes to compare with new input? One direction in which mathematics and vision have converged is toward multiscale analyses of visual signals and shapes. In other respects, however, the recognition process in animals shows features that still defy mathematical modeling.

关键词： Computer vision technology Machine vision Animal model studies Mathematical modeling Mathematics Wavelets Data compression Shape analysis detection and tracking algorithms Visual process modeling

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