搜索资源列表
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视频检索,图像识别等方面的内容,用于matlab-Video retrieval, image recognition and other aspects
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关于灰度图像二值化的算法的详解,针对各个领域的应用,汉字识别,摄像采集,政府资源等等,适合初学者使用,灰度图像-On the gray image binarization algorithm Wapakhabulo, for applications in various fields, Chinese character recognition, video capture, government resources, etc., suitable for beginners, gray i
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该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控,具有友好的人机交互界面。在工作时,利用连接在计算机上的摄像头取得视频图像,通过背景减除、滤波、二值化处理、识别等技术,实现对视频目标的监控。-This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly h
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Bank recognition using video streaming in matlab ,
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一个关于视频中移动物体确定的MATLAB识别-A matlab recognition program about extracting moving object in a video
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有关图像图形处理 图像识别 主成分分析法,模板匹配等识别方法的Matlab程序-Principal component analysis (pca) on video image processing image recognition, template matching identification methods, such as Matlab
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动态目标的识别与跟踪程序程序,该程序在MATLAB平台可运行,有测试视频,对于学习目标跟踪有较大帮助-Dynamic target recognition and tracking program program that can be run in the MATLAB platform, a test video for the track great help learning objectives
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源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频,在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下,处理效果很好。-The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on th
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一个基于matlab的运动目标跟踪的资料,包括源代码和视频样本-A moving target tracking based on matlab, including source code and video samples
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Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Achieve a grayscale image and further control for video surveillance, Raya Punuo Fu index using the formula.
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基于视频的车辆识别(不是车牌识别),环境基于matlab 2014a,实现了在一个视频中把运动的车用绿色的框框出来。(Video based vehicle recognition)
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识别视频中动态图像,例如行走的人,移动的汽车等,标记其轮廓(Recognition of dynamic images in video)
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利用MATLAB实现了视频图像行人识别与检测,(Using MATLAB to achieve video image pedestrian recognition and detection,)
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一、课题介绍
本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法,误识别大,局限性强。结合火焰是实时动态跳跃的,采用面积增长率,角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频,通过下一帧和上一帧的差异发现是否有火情,并可发出语音报警。本设计带有一个人机交互式GUI界面,界面友好。是个不错的bishe选题。
二、算法流程
结合火焰的面积增长率,角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数,实时显示在GUI上。
三、GUI界面设计(Thi
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