搜索资源列表
Radar Simulation
- 雷达系统仿真，采用相位编码脉内线性调频混合调制信号。该雷达具有数字化正交解调、脉冲压缩处理、固定目标对消、动目标检测（MTD）、和恒虚警（CFAR）处理等功能-Radar simulation system，using the LFM and barker code mixed modulated signal。Main function include：digital orthogonal demodulationfixed, Pulse compression，target cancella
MotionSource
- 移动物体视频检测原代码及其Demo程序。-Moving object video detection of the original code and Demo program.
VideoDemo
- 视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background fram
Platform_for_Moving_Object_Tracking
- 一个基于OpenCV软件的运动目标检测跟踪实验平台，对摄像头视野中的运动目标进行实时检测和跟踪，并留下编程和硬件接口-A software-based moving target detection OpenCV tracking experiment platform, the camera view in real-time moving object detection and tracking, and leave programming and hardware interface
JianCe
- 对一个352乘以288的YUV视频进行目标的检测-retrieval oriented spatial-temporal video object detection and segmentation in compressed domain
ji
- 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、目 为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。根 列图像的背景情况可以将运动目标检测划分为静态背景下运动目标检测 态背景下运动目标检测，本章主要研究静态背景下的运动目标检测算法。 -Moving target detection is the lowest level of video surveillance systems, is the target tracking, target clas
JianCeAndTrack
- 检测跟踪算法，检测算法用的kim算法，跟踪用的均值偏移算法-Detecting and tracking algorithm, detection algorithm method used by kim, tracking using mean shift algorithm
codecode
- 静态背景下的高精度视频目标是实时检测与轮廓提取，matlab源代码实现。 -High-precision static background video object detection and contour extraction in real time, matlab source code.
SIFT_VC.lib
- 本系统中VIS欠缺的SIFT_VC.lib文件。。。 http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library
optic_track_sfun
- real time object tracking using matlab and simulink
motion-detection
- 运动图像目标检测和跟踪，目标检测采用帧间差分法，跟踪采用meanshift算法。-Moving image object detection and tracking, object detection using frame difference method, tracking use of meanshift algorithm.
motion-detector
- 运动物体检测，包括背景处理（中值滤波，灰度化，确定匹配中心，得到特征区域，物体轨迹的绘制），运动判定分析（腐蚀膨胀等）-Moving object detection, including background processing (median filter, grayscale, match the center to determine, by feature area, the object trajectory drawing), exercise decision analysis
ObjectDetection
- projet c++ complet pour la detection d object en utilisant la transformée de hough
detection-moving-object
- 本来介绍了一种对运动问题检测的新方法，应该对大家很有用的-Originally introduced on the motion of a new method for problem detection, should be useful to everyone
Detection-of-moving-objects
- 利用背景建模检测运动物体。视频是一个交通路面的视频（自己可以去下个）-Moving object detection using background modeling. Video is a video of a traffic road (they can go to the next)
face-detection-based-on-Harr-wavelet
- 基于哈尔小波变换的人脸识别程序 本程序识别速度快，占有容量短。-Ultra Rapid Object Detection in Computer Vision Applications with Haar-like Wavelet Features
moving-objiec-detection
- 基于opencv的运动目标检测，帮助初学者对opencv有一个感性的认识-Opencv-based moving object detection, to help beginners have an emotional understanding of opencv
Context-Aware-Saliency-Detection
- 目标检测，利用上下文关系-object detection using context
Object-based-image-analysis
- 面向对象的遥感图像变化监测算法-英文参考文献，对专业人士一定有帮助-Object-oriented remote sensing image change detection algorithm- English references, will certainly be helpful for professionals
SIFT
- sift的详细介绍，主要步骤是：1.关键点检测2.关键点描述 3.关键点匹配 4.消除错配点。物体识别的必备资料 -sift the details, the main steps are: 1. The key point detection (2) describe key 3 key match 4 to eliminate the mismatch point. Essential information on object recognition