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检索条件"主题词=Algorithm Development"

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Face Recognition from a Moving Platform via Sparse Representation

Face Recognition from a Moving Platform via Sparse Represent...

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Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X

作者： Hsu, Ming Kai Hsu, Charles Lee, Ting N. Szu, Harold George Washington Univ ECE Dept Washington DC 20052 USA

ISBN: (纸本)9780819490797

A video-based surveillance system for passengers includes face detection, face tracking and face recognition. In general, the final recognition result of the video-based surveillance system is usually determined by the cumulative recognition results. Under this strategy, the correctness of face tracking plays an important role for the system recognition rate. For face tracking, the challenges of face tracking on a moving platform are that the space and time information used for conventional face tracking algorithms may be lost. Consequently, conventional face tracking algorithms can barely handle the face tracking on a moving platform. In this paper, we have verified the state-of-the-art technologies for face detection, face tracking and face recognition on a moving platform. In the mean time, we also proposed a new strategy for face tracking on a moving platform or face tracking under very low frame rate. The steps of the new strategy for face detection are: (1) classification the detected faces over a certain period instead of every frame (2) Tracking of each passenger is equivalent to reconstruct the time order of certain period for each passenger. If the cumulative recognition results are the only part needed for the surveillance system, step 2 can be skipped. In addition, if the additional information from the passengers is required, such as path tracking, lip read, gesture recognition, etc, time order reconstruction in step 2 can offer the information required.

关键词： Facial recognition systems Video Video surveillance Detection and tracking algorithms Surveillance systems Sensors algorithm development Machine vision Surveillance Reconstruction algorithms

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Motion planning for variable inertia mechanical systems

Motion planning for variable inertia mechanical systems

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Conference on Unmanned Systems Technology VIII

作者： Shammas, Elie A. Choset, Howie Rizzi, Alfred A. Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)0819462861

In this paper, we generate gaits for mixed systems, that is, dynamic systems that are subject to a set of non-holonomic constraints. What is unique about mixed systems is that when we express their dynamics in body coordinates, the motion of these systems can be attributed to two decoupled terms: the geometric and dynamic phase shifts. In our prior work, we analyzed systems whose dynamic phase shift was null by definition. Purely mechanical and principally kinematic systems are two classes of mechanical systems that have this property. We generated gaits for these two classes of systems by intuitively evaluating their geometric phase shift and relating it to a volume integral under well-defined height functions. One of the contributions of this paper is to present a similar intuitive approach for computing the dynamic phase shift. We achieve this, by introducing a new scaled momentum variable that not only simplifies the momentum evolution equation but also allows us to introduce a new set of well-defined gamma functions which enable us to intuitively evaluate the dynamic phase shift. More specifically, by analyzing these novel gamma functions in a similar way to how we analyzed height functions, and by analyzing the sign-definiteness of the scaled momentum variable, we are able to ensure that the dynamic phase shift is non-zero solely along the desired fiber direction. Finally, we also introduce a novel mechanical system, the variable inertia snakeboard, which is a generalization of the original snakeboard that was previously studied in the literature. Not only does this general system help us identify regions of the base space where we can not define a certain type of gaits, but also it helps us verify the generality and applicability of our gait generation approach.

关键词： Gait analysis Kinematics Phase shifts Dysprosium Dynamical systems Structured optical fibers Mechanics Space robots algorithm development Computer simulations

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BOX CONNECTIVITY APPROACH TO MULTIFONT CHARACTER-RECOGNITION

BOX CONNECTIVITY APPROACH TO MULTIFONT CHARACTER-RECOGNITION

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Conference on Document Recognition

作者： KRTOLICA, R CANON RES CTR AMER INC PALO ALTOCA 94304

ISBN: (纸本)081941476X

The idea of box connectivity approach (BCA) is to partition the bounding frame of the character bitmap into a fixed number of rectangles, to define some properties of those rectangles, and to establish connectivity relations between the rectangles. Hamming distance and vector optimization are used for classification. Good results in recognition of high quality data (400 dpi) in three fonts (Courier, Helvetica, and New Times Roman) and eight sizes (from 8 to 24 points) were reported in a previous paper. These findings are confirmed in this paper by an experiment showing that, for the same number of bits, BCA features increase the rate of recognition twice with respect to features obtained by simple decimation. However, the actual method is limited by the fact that the number of referent templates increases with the number of fonts to be recognized. The purpose of this paper is to remove this limitation. The main part of the paper discusses the properties of the Hamming distance and how they can be used in the BCA algorithm to improve the efficiency of classification. The last section reports the results of an experiment showing the discrimination power of BCA features.

关键词： Raster graphics Detection and tracking algorithms Optical character recognition Binary data Image classification algorithm development Antimony Feature extraction Statistical analysis Tin

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Adaptive Randomized algorithms for Analysis and Design of Control Systems Under Uncertain Environments 14

Adaptive Randomized Algorithms for Analysis and Design of Co...

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Conference on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV

作者： Chen, Xinjia Southern Univ Dept Elect Engn Baton Rouge LA 70813 USA

ISBN: (纸本)9781628415728

We consider the general problem of analysis and design of control system presence of uncertainties. We treat uncertainties that affect a control system as random variables. The performance of the system is measured by the expectation of some derived random variables, which are typically bounded. We develop adaptive sequential randomized algorithms for estimating and optimizing the expectation of such bounded random variables with guaranteed accuracy and confidence level. These algorithms can be applied to overcome the conservatism and computational complexity in the analysis and design of controllers to be used in uncertain environments. We develop methods for investigating the optimality and computational complexity of such algorithms.

关键词： Tin Control systems design algorithm development Monte Carlo methods Stochastic processes Computer simulations Control systems Matrices Statistical analysis Computing systems

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COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ON PERSPECTIVE-SENSITIVE LANDMARK RECOGNITION PROBLEMS

COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ...

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11TH CONF ON INTELLIGENT ROBOTS AND COMPUTER VISION : algorithmS, TECHNIQUES, AND ACTIVE VISION

作者： BEVERIDGE, JR Univ. of Massachusetts/Amherst (United States)

ISBN: (纸本)0819410268

An intelligent robot with a camera and a partial model of its environment should be able to determine where it is from what it sees. This goal, landmark based navigation, can be realized using geometric object recognition algorithms. An important problem that arises in the development of such algorithms concerns the role of full 3-D perspective projection. Much of the work on object recognition has focused upon simplified problems which are essentially 2- D. One such simplification uses weak-perspective: to test the alignment of matched features object models are rotated, translated, and scaled in the image plane. At increased computational cost, full-perspective can be incorporated into recognition using a family of probabilistic optimization procedures based upon local search. This paper considers two specific algorithms from this family: subset-convergent and variable-depth local search. Both approaches reliably recognize landmarks even when landmark appearance is sensitive to perspective. Results presented here suggest the relatively simpler variable-depth algorithm is preferable when errors in the robot pose estimate are smaller, but that at some point as uncertainty in the initial pose estimate increases the more sophisticated subset-convergent algorithm becomes preferable.

关键词： Image segmentation 3D modeling Robot vision algorithm development Detection and tracking algorithms Data modeling Visual process modeling Computer vision technology Machine vision Cameras

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NEURAL NETWORKS APPLICATION IN AUTONOMOUS PATH GENERATION FOR MOBILE ROBOTS

NEURAL NETWORKS APPLICATION IN AUTONOMOUS PATH GENERATION FO...

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1990 MIDWEST CONF ON APPLICATIONS OF OPTICAL ENGINEERING : ( OE/MIDWEST 90 )

作者： POURBOGHRAT, F Southern Illinois Univ./Carbondale (United States)

ISBN: (纸本)0819404772

The problem of collision-free path generation for mobile robots is considered This task is formulated into an optimization problem for which a recurrent neural network similar to Hopfield''s is useiL The outputs of the units in the network correspond to the position of some intermediate points on the path which would be connected by straight lines. The steady-state values of the outputs of the units in the network correspond to the coordinates of the position of the intermediate points on the shortest collision-free path to the targets To derive the dynamics of the network first an eneri function corresponding to the distance from the target the total length of the path and the degree of closeness to the obstacles is derived1 The dynamics of the network is then derived according to a gradient descent algorithms 1 .

关键词： Neural networks Mobile robots Optical engineering algorithm development Collision avoidance Evolutionary algorithms Robots Detection and tracking algorithms Electrical engineering Robotics

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Temperature and emissivity retrieval from DAIS Data:: application to the DAISEX campaigns in Colmar (France) and Barrax (Spain)

Temperature and emissivity retrieval from DAIS Data:: applic...

引用

Conference on Image and Signal Processing for Remote Sensing VI

作者： Sobrino, JA Laporta, S Reíllo, S Nerry, F Univ Valencia Fac Phys Dept Thermodynam E-46100 Burjassot Spain

ISBN: (纸本)081943826X

In the present paper it is presented a methodology to calculate the surface temperature (ST) from the combination of the radiometric temperature in two different DAIS (Digital Airborne Imaging Spectrometer) thermal bands using split-window (sw) method. To get this objective the MODTRAN 3.5 radiative transfer code was used to predict radiance for DAIS channels 74 (8.75 mum), 75 (9.65 mum), 76 (10.48 mum), 77 (11.27 mum), 78 (12.00 mum) and 79 (12.67 mum) at different aircraft altitudes with the appropriate channel filter functions. In order to analyse atmospheric effects a set of radiosoundings that cover the variability of surface temperature and water vapour concentration on a world-wide scale was used. Once the algorithm has been obtained, an application to DAIS images obtained in Colmar (France) and Barrax (Spain) during the DAISEX'98 and '99 ( Data Airborne Imaging Spectrometer Experiment) campaigns framework has been made. Finally a comparison between the surface temperature obtained from DAIS data, previously corrected from the atmospheric and emissivity effect, and the simultaneous in-situ measurements, is included. The results show that the proposed theoretical sw are able to produce land surface temperature with a standard deviation lower than 1 K. This is in good agreement with the validation results obtained from DAISEX campaign.

关键词： Temperature metrology Soil science algorithm development Sensors Airborne remote sensing Computer simulations Data modeling Spectroscopy Stereolithography Ozone

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USING COLOR TO SEGMENT IMAGES OF 3-D SCENES

USING COLOR TO SEGMENT IMAGES OF 3-D SCENES

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CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE 9

作者： HEALEY, G Univ. of California/Irvine (United States)

ISBN: (纸本)0819405779

Physical models for color image formation provide constraints which are useful for interpreting 3D scenes. I summarize the physics underlying color image formation. Models for surface and body reflection from metals and dielectrics are analyzed in detail. This analysis allows us to evaluate the benefits we stand to gain by using color information in machine vision. I show from the reflection models that color allows the computation of image statistics which are independent of scene geometry. This principle has been used to develop an efficient algorithm for segmenting images of 3D scenes using normalized color. The algorithm applies to images of a wide range of materials and surface textures and is useful for a wide variety of machine vision tasks including 3D recognition and 3D inspection. Experimental results are presented to demonstrate the scope of the models and the capabilities of the segmentation algorithm.

关键词： Image segmentation Sensors Evolutionary algorithms Image processing algorithms and systems Image processing Edge detection algorithm development Detection and tracking algorithms Reflection 3D image processing

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EXPLOITING MASSIVE PARALLELISM IN algorithm UNDERSTANDING FOR AUTOMATIC TARGET RECOGNITION ON SAR IMAGERY

EXPLOITING MASSIVE PARALLELISM IN ALGORITHM UNDERSTANDING FO...

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CONF ON ARCHITECTURE, HARDWARE, AND FORWARD-LOOKING INFRARED ISSUES IN AUTOMATIC TARGET RECOGNITION

作者： DIAS, L SANTAPIETRO, JJ David Sarnoff Research Ctr. (United States)

ISBN: (纸本)0819411930

We present a novel approach for implementing and optimizing an Automatic Target Recognition (ATR) algorithm for Synthetic Aperture Radar (SAR) imagery using the Princeton Engine (PE), a general purpose massively parallel single instruction multiple data (SIMD) machine. This approach was developed in the algorithm Understanding Laboratory (AUL), a unique facility which is chartered to assist algorithm developers through high-speed implementation and near real-time visualization, and is located within the National Information Display Laboratory (NIDL). The PE architecture automatically provides a high speed-up directly proportional to the width of the image being processed, thereby reducing the train/test cycle times of ATR algorithms from days and hours down to minutes. Given this speed-up, the user can now train the system to classify a set of objects and then test it rapidly, thus tightening the train/test loop. With our approach, one can operate on the entire image, retaining useful image information until the very last stage in the algorithm.

关键词： algorithm development Detection and tracking algorithms Image processing Synthetic aperture radar Automatic target recognition Video Visualization Signal processing Distance measurement Video processing

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Fiber-MOPA based multi-kW uplink laser beacons for deep-space communication links

Fiber-MOPA based multi-kW uplink laser beacons for deep-spac...

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Conference on Free-Space Laser Communication Technologies XXIII

作者： Engin, Doruk Lu, Wei Kimpel, Frank Chen, Youming Akbulut, Mehmetcan Gupta, Shantanu Fibertek Inc Herndon VA 20171 USA

ISBN: (纸本)9780819484604

KW level fiber based MOPA laser system at 1064nm for uplink deep space communication is developed and characterized. System achieves 11.5 kW peak power (600W average power) at 500 kHz (5% duty cycle) with >70% optical conversion efficiency. Experiments using 16-ary PPM format are presented where without pre-pulse shaping >+/- 60% pulse energy variation is observed. Gain dynamics is identified as main source of pulse to pulse energy fluctuation. Novel, FPGA implementable open loop pulse shaping algorithm is developed and demonstrated. Resulting pulse energy statistics are reported, where <+/- 7% pulse energy variation is achieved for 90% of pulses.

关键词： Bragg cells Fiber lasers Telecommunications algorithm development Detection and tracking algorithms Field programmable gate arrays Pulse shaping Modulation Laser systems engineering Modulators

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