Description: 针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法，
算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚
警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标
排除．实验结果证明了算法的可行性．
关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition Platform: |
Size: 133911 |
Author:陈文清 |
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Description: Automatic target detection in SAR image is the first stage in the ATR (Automatic Target Recognition) system. It is very important to improve the computing efficiency of the whole system. A conventional automatic target detection method is CFAR (constant false alarm rate) which is based only on the amplitude, discards the phase and thereby sacrifices half information of the SAR imagery. Almost each CFAR brings a large number of false alarms. 2L-IHP (two-look internal Hermitian product) is a new method which exploits the phase and amplitude information. In this paper, both CFAR and 2L-IHP algotithms are compared with an emphasis on 2L-IHP. The 2L-IHP algorithm for target detection is discussed briefly first. In order to apply it widely, it is modified to circumvent the constraint of the data. For polarimetric SAR images, PWF (Polarimetric Whitening Filter) is used to generate an image for target detection. According to ADTS data set, these algorithms are analyzed and evaluated respectively. C-、L- and P- band AIRSAR data are also processed, and some tentative conclusions are derived: Considering the penetrating ability of the microwave, L-band got the best detection accuracy of the three bands; HH polarization performed better for target detection than VV and HV polarization; Moreover, because more information is contained in polarimetric SAR data, here, we conclude that polarimetric SAR data have advantages over single polarized SAR data when they are applied for target detection. But all these conclusions need further validation. Platform: |
Size: 288371 |
Author:xbtown@126.com |
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Description: 针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法，
算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚
警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标
排除．实验结果证明了算法的可行性．
关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition Platform: |
Size: 134144 |
Author:陈文清 |
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Description: 自动多目标检测跟踪,是在OPENCV里实现的,希望大家多多支持-Automatic multi-target detection tracking is achieved OPENCV I hope we can support Platform: |
Size: 2539520 |
Author:may |
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Description: 运动目标检测系统，本系统主要完成运动目标的自动检测-Moving target detection system, the system is mainly to complete the automatic detection of moving targets Platform: |
Size: 5152768 |
Author:高圆圆 |
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Description: 真实场景下视频运动目标自动提取方法.主要的研究内容包括运动物体检测，分类和跟踪，研究成果可以广泛地应用在交通管理系统，视频监视系统和军事目标跟踪系统，同时还可以应用在基于内容的视频数据压缩编码中。-Real video scenes under the automatic extraction method of moving targets. The main content includes moving object detection, classification and tracking, research results can be widely used in traffic management systems, video surveillance systems and military target tracking systems, but also can be applied to content-based video data compression coding. Platform: |
Size: 494592 |
Author:天子 |
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Description: SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题-SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems Platform: |
Size: 1040384 |
Author:黄超 |
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Description: 运动目标检测与跟踪算法,可以实现目标的自动检测与跟踪-Moving target detection and tracking algorithm that can achieve its objectives of automatic detection and tracking Platform: |
Size: 294912 |
Author:李建 |
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Description: This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles” Platform: |
Size: 1355776 |
Author:MemoSergey |
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Description: 实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％-To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading Platform: |
Size: 507904 |
Author:王真 |
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Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different Platform: |
Size: 2509824 |
Author:王述 |
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Description: 自动目标检测中常用到的跑长码相应算法说明-Automatic target detection code used to run a long description of the corresponding algorithm Platform: |
Size: 292864 |
Author:刘浩 |
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Description: 一种目标检测与自动跟踪方法的研究以及实现-A target detection and automatic tracking of research and implementation Platform: |
Size: 216064 |
Author:董瑞 |
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Description: Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images. Platform: |
Size: 1024 |
Author:Fresnel |
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Description: 近些年，由于射频技术发展迅猛，应答器有了新的说法和含义，又被叫做智能标签或标签。RFID电子电梯合格证的阅读器（读写器）通过天线与RFID电子标签进行无线通信，可以实现对标签识别码和内存数据的读出或写入操作。典型的阅读器包含有高频模块（发送器和接收器）、控制单元以及阅读器天线。RFID射频识别是一种非接触式的自动识别技术，它通过射频信号自动识别目标对象并获取相关数据，识别工作无需人工干预，可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签，操作快捷方便。RFID是一种简单的无线系统，只有两个基本器件，该系统用于控制、检测和跟踪物体。系统由一个询问器（或阅读器）和很多应答器（或标签）组成。-In recent years, the rapid development of the radio frequency technology, the transponder has a new argument and meaning, also called smart tags or labels. The RFID reader elevator certificate (reader) through the antenna and the RFID tag for wireless communications, can be achieved for tag identification code and the memory data read or write operations. A typical reader includes a frequency module (transmitter and receiver), the control unit and the reader antenna. RFID radio frequency identification is a non-contact automatic identification technology that uses radio frequency signal automatic target recognition and access to relevant data, identifying work without human intervention, can work in a variety of harsh environments. RFID technology can identify fast moving objects can also identify multiple tags, the operation quickly and conveniently. RFID is a simple wireless system, only two basic components, the system for control, object detection and tracking. System consists of a Platform: |
Size: 491520 |
Author:php |
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Description: a new automatic target detection (ATD) algorithm to detect targets such as military targets, vehicle detection, oil storeroom detection. This algorithm uses concentric circles to extract features of object and the features are quasi invariant to target translations, rotations and scaling. From this it is effective to detect targets in the real – time applications. Platform: |
Size: 5120 |
Author:Gowri |
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Description: 设计一个能够控制激光枪击发、自动报靶及自动瞄准等功能的电子系统。该系统由激光枪及瞄准机构、胸环靶、弹着点检测电路组成，其结构示意见图-To design a control laser shot hair, automatic target and automatic targeting system and other electronic functions. The system consists of a laser gun and aiming mechanism, chest ring target, the point of impact detection circuit, the structure indicated in Figure Platform: |
Size: 262144 |
Author:王升 |
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Description: 智能视觉监控利用计算机视觉技术在不需要人为干预的情况下,通过对摄像
头拍摄的图像序列的自动分析实现对被监控场景中的运动目标检测、识别和跟踪,
并在此基础上分析和判断目标的行为,涉及到网络通信、图像处理、数据压缩、
人工智能等多项技术
-Intelligent visual surveillance using computer vision technology in without the need of human intervention, the camera
头拍摄的图像序列的自动分析实现对被监控场景中的运动目标检测、识别和跟踪,并在此基础上分析和判断目标的行为,涉及到网络通信、图像处理、数据压缩、
Automatic image analysis of sequence header shot of the moving target detection, recognition and tracking in the scene to be monitored, and based on the analysis and judge the behavior of the objects, relates to the network communication, image processing, data compression,
人工智能等多项技术
Artificial intelligence technology
Platform: |
Size: 6297600 |
Author:sunny |
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Description: 本书是关于雷达目标检测和恒虚警(CFAR)处理理论与方法的一部专著。书中总结了三十多年来，在这一领域国际上的研究进展及大量研究成果。全书由15章组成，主要内容有经典的固定门限检测、均值类CFAR检测器、有序统计类CFAR检测器、采用自动筛选技术的广义有序统计类CFAR检测器、自适应CFAR检测器、韦布尔和对数正态杂波背景中的CFAR检测器、复合高斯分布杂波中的CFAR处理、非参量CFAR处理、杂波图CFAR处理、变换域CFAR处理、距离扩展目标检测、多传感器分布式CFAR处理以及其他CFAR处理方法，最后是本书的回顾、建议与展望-This book is about the radar target detection and constant false alarm rate (CFAR) processing theory and methods of a monograph. The book summarizes the thirty years, research progress in this area and a large number of international research. The book consists of 15 chapters, the main contents of the classic fixed threshold detection, mean class CFAR detector, orderly statistical category CFAR detector, automatic screening generalized order statistics class CFAR detector, adaptive CFAR detector, Wei Boolean and lognormal clutter the CFAR detector, complex Gaussian clutter CFAR processing, non-parametric CFAR processing, clutter map CFAR processing, CFAR processing transform domain the extended target detection, multi-sensor distributed CFAR processing and other CFAR processing method, and finally the review of the book, suggestions and Prospects Platform: |
Size: 4904960 |
Author:wangjianlu |
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Search - automatic target detection