搜索资源列表
genzong
- c++实现跟踪分割视频中运动的物体，有不错的的效果，对分割视频提取检测特征，并实行特征分析跟踪-c++ object segmentation for tracking the movement of the video, have a good effect, to split video detection feature extraction, feature analysis and implementation of tracking
Impact-checking
- 物体在指定的空间运动的碰撞检测 opengel 语言-Object collision detection specified spatial movement
hongwaiduishechuanganqi
- 红外对射传感器使用的是槽型红外光电开关。红外光电传感器是捕捉红外线这种不可见光，采用专用的红外发射管和接收管，转换为可以观测的电信号。红外光电传感器有效地防止周围可见光的干扰，进行无接触探测，不损伤被测物体。红外光电传感器在一般情况下，有三部分构成，它们分为：发送器、接收器和检测电路。-Infrared correlation of sensor using the infrared electric switch is groove. Infrared electric sensor is c
JLDATA
- 摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis
EDLinesTest
- EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (E
SelectiveSearch2.tar
- 完整的 search处理程序，可用于检测图像中的可用物体，作为物体分割的预处理- search fulll processing program, can be used for object candidate detection, as the pre-process of the object segmentation.
SkinCapiture
- 对皮肤目标进行检测。在摄像头内是皮肤对象就会被显示，其他的背景都被去除。-Skin target detection. The camera is in the skin object will be displayed, other background is removed.
smoke_detection
- 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运 动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for sm
opencvCar
- 本程序开发环境：vc和opencv 整体功能：是为了实现车载视频中车牌自动跟踪，检测，，定位，识别，视频中物体的跟踪必须是手动圈住才行，摄像头使用的是usb摄像头. 打开摄像头，可以看到视频中画面，移动鼠标圈住物体，可以自动跟踪。-This program development environment: VC and opencv The overall function: in order to realize the video vehicle license plate auto
detectAndTrackFaces
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
Object__Tracking
- This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2012-2015 The MathWorks, Inc. Detection of moving objects and motion-based tracking are im
GAME
- 检测物体碰撞的射击游戏。使用WASD控制移动，自动发射子弹，碰撞后物体消失重来。-Collision detection object shooting game. Using WASD control movement, automatic firing bullets, collision objects disappear again.
Release
- 一个用MFC做的入侵检测系统，鼠标选定监测区域，若有物体入侵发生报警-MFC to do with a intrusion detection systems, monitoring area selected by the mouse, if the object of the invasion alarm
darknet
- 神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection fr
CPPADA
- C+++视频cvncvb监控系统,根据支持向量机的特征提取对视频中的物体进行检测识别-C++ video cvbcvb monitoring system, according to the support vector machine to extract the characteristics of the object in the video detection and identification
detectcar
- Matlab code for object recognization - Detection of car in a video clip
Untitled2
- 基于帧间差分的单目标/多目标的实时跟踪程序，基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based tracking of moving objects in a video a stationary camera. Copyright 2014 The MathWorks, Inc. Detec
Focustve
- 重点 基于小波的小尺寸物体的图像边缘提取方法,很不错的-Focus on the small size of object images based on wavelet edge detection method, is very good
ImagePro2
- 检测目标对象的大小和方向特性，简单应用，适合入门 -Detection of the size and direction of the target object characteristics, simple application, suitable for entry
main (2)
- 物体运动检测，功能简洁，代码简单，快速实现了此功能。VS2015 OPENCV2.9 WIN10(Object movement detection, the function is succinct, the code is simple, has realized this function rapidly.)