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

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POLARIMETRIC TECHNIQUES FOR ENHANCING SAR IMAGERY

POLARIMETRIC TECHNIQUES FOR ENHANCING SAR IMAGERY

引用

CONF ON SYNTHETIC APERTURE RADAR

作者： VERBOUT, SM NETISHEN, CM NOVAK, LM Lincoln Lab./MIT (United States)

ISBN: (纸本)0819407763

This paper describes several techniques for enhancing fully polarimetric, high-resolution synthetic aperture radar (SAR) imagery. Image enhancement is viewed as a pre-processing step to prepare the SAR data for sophisticated detection, discrimination, and classification algorithms. The paper considers enhancement techniques that use polarimetric information in the imagery to achieve one or both of the following goals: (1) reduction of image speckle, and (2) improvement in target-to-clutter contrast. Three enhancement techniques are presented: the polarimetric whitening filter (PWF), the polarimetric enhancement filter (PEF), and the polarimetric matched filter (PMF). These polarimetric processing techniques are applied to actual SAR data gathered by the Lincoln Laboratory MMW airborne sensor. The resulting target and clutter statistics are compared for typical data sets at both 1ft by 1ft resolution and lm by lm resolution.

关键词： Polarimetry Synthetic aperture radar Image enhancement detection and tracking algorithms Extremely high frequency Image classification Sensors Speckle

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COHERENT LASER-RADAR FOR TARGET CLASSIFICATION

COHERENT LASER-RADAR FOR TARGET CLASSIFICATION

引用

CONF ON SURVEILLANCE TECHNOLOGIES

作者： KRANZ, W Siemens AG (Germany)

ISBN: (纸本)0819405884

This paper describes a method for classifying targets -- especially helicopters -- by evaluating their vibration signatures. The mechanical vibrations of the targets are mainly caused by all movements of engines, turbines, gears, etc. Different types of targets have different vibration spectra which were measured in field trials by an experimental coherent laser radar. The measured signals show the type characteristic vibration signatures. The signatures can be evaluated by mathematic algorithms. Therefore classification of noncooperative targets is feasible.

关键词： LIDAR Frequency modulation Sensors Target detection Modulation Surveillance Mathematics Fermium Library classification systems detection and tracking algorithms

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INTEGRATION OF AN APPLICATION ACCELERATOR FOR HIGH-SPEED INSPECTION

INTEGRATION OF AN APPLICATION ACCELERATOR FOR HIGH-SPEED INS...

引用

CONF ON MACHINE VISION SYSTEMS INTEGRATION IN INDUSTRY

作者： KILLE, K AHLERS, RJ HAGER, K Fraunhofer-Institut fuer Produktionstechnik und Automatisier (Germany)

ISBN: (纸本)0819404535

Industrial applications of vision systems for inspection very often require high speed performance. Using an application accelerator in combination with a PCbased vision system a speedup factor of about 10 15 can be realized. algorithms using the instruction set of the array processor lead to high inspection rates and reliability. Contour filtering and gradient processing therewith are performed in short time. We will discuss the given inspection task the algorithms used and the integration of the application accelerator.

关键词： Inspection Machine vision System integration Binary data Defect detection Frame grabbers detection and tracking algorithms Mercury Tolerancing Array processing

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NONPARAMETRIC DOMINANT POINT detection

NONPARAMETRIC DOMINANT POINT DETECTION

引用

CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING : IMAGE PROCESSING

作者： ANSARI, N HUANG, K New Jersey Institute of Technology (United States)

ISBN: (纸本)0819407437

A new method for detecting dominant points is presented. It does not require any input parameter, and the dominant points obtained by this method remain relatively the same even when the object curve is scaled or rotated. In this method, for each boundary point, a support region is assigned to the point based on its local properties. Each point is then smoothed by a Gaussian filter with a width proportional to its determined support region. A significance measure for each point is then compared. Dominant points are finally obtained through nonmaximum suppression. Unlike other dominant point detection algorithms which are sensitive to scaling and rotation of the object curve, the new method will overcome this difficulty. Furthermore, it is robust in the presence of noise. The proposed new method is compared to a well-known dominant point detection algorithm in terms of the computational complexity and the approximation errors.

关键词： Image processing Gaussian filters detection and tracking algorithms Sensors Visual communications Image segmentation Quantization Edge detection Quality measurement Signal processing

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OBJECT detection IN REAL-TIME

OBJECT DETECTION IN REAL-TIME

引用

CONF ON MOBILE ROBOTS 5

作者： SOLDER, U GRAEFE, V Univ. der Bundeswehr Muenchen (Germany)

ISBN: (纸本)0819404551

An algorithm working on monocular gray-scale image sequences for object detection combined with a road tracker is presented. This algorithm appropriate for the real-time demands of an autonomous car driving with speeds over 40 km/h may be used for triggering obstacle avoidance maneuvers such as coming to a safe stop automatically in front of an obstacle or following another car. Moving and static objects have been detected in real-world experiments on various types of roads even under unfavorable weather conditions. . Morgenthaler and

关键词： Roads Cameras Sensors Mobile robots detection and tracking algorithms Computing systems Image processing Video Imaging systems Radon

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OPTICAL MULTILAYER NEURAL NETWORKS 3

OPTICAL MULTILAYER NEURAL NETWORKS

引用

CONF ON OPTICAL INFORMATION PROCESSING SYSTEMS AND ARCHITECTURES 3

作者： PSALTIS, D YONG, Q California Institute of Technology (United States)

ISBN: (纸本)0819406929

In order to implement fully adaptive optical multilayer neural networks, a number of issues involving both learning algorithms and device technologies need to be addressed. In this paper, we present some important modifications to existing learning algorithms that serve to simplify optical architectures and allow the use of simple optical devices.

关键词： Neurons Neural networks detection and tracking algorithms Optical signal processing Sensors Adaptive optics Evolutionary algorithms Optical components Signal detection Spatial light modulators

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ADAPTIVE SELECTION OF SENSORS BASED ON INDIVIDUAL-PERFORMANCES IN A MULTISENSOR ENVIRONMENT

ADAPTIVE SELECTION OF SENSORS BASED ON INDIVIDUAL-PERFORMANC...

引用

CONF ON DATA STRUCTURES AND TARGET CLASSIFICATION

作者： PARRALOERA, R THOMPSON, WE SALVI, AP New Mexico State Univ. (United States)

ISBN: (纸本)0819405795

An important issue in the fusion of multisensor data in the context of scene interpretation and multitarget tracking is the ability to evaluate and characterize sensor performance and establish confidence factors for the individual sensors. This paper presents a methodology for adaptively determining sensor confidence factors based upon sensor performance as measured by the degree of consensus among the various sensors. The fusion process is based upon evidential reasoning and statistical clustering which utilize the sensor confidence factors. The sensor confidence factors are based upon sensor characteristics, environmental conditions, and sensor performance. The individual sensor performance is derived in terms of the fusion results and the degree of consensus between the individual sensor data and the fusion data. Experimental results are presented to illustrate the technique and to demonstrate the effectiveness of the methodology in scene interpretation.

关键词： Sensors Data fusion Sensor performance Environmental sensing Control systems Distance measurement Sensor fusion Data processing detection and tracking algorithms Reliability

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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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INITIAL KEY WORD OCR FILTER RESULTS

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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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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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