搜索资源列表
Key_Frame_identification-master
- 使用Matlab基于直方图、欧式距离和马氏距离实现视频镜头分割-This project takes a video as input and converts it into frames. From the numerous frames it identifies only a few number of frames which are the key frames. Key frames are identifies by implementing Histogram analysis
background-segmentation
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg221.【高斯处理视频并跟踪运动做前景背景分割】bgfg2-Gauss processing video and tracking motion foreground background segmentationGauss processing video and tracking motion foreground background segmentation
zhixian_Untitled
- 本程序可以有效地解决在智能车辆运行过程中对道路中心线的有效识别，通过视频图像分割，二值化，边缘检测，hough变换最后得到。-This procedure can effectively solve the intelligent vehicle is running efficiently identify the centerline of the road, through a video image segmentation, binarization, edge detection,
Traffic-Statistics-Based-on-Video
- 该程序基于视频统计车流量。该算法通过识别出交通场景图像中复合车辆特征的像素，进行图像分割，并依据提取出来的特征来匹配前后两幅图像中的车辆，从而计算车流量。-The program is based on the video statistics vehicle traffic. The algorithm calculates the traffic volume by recognizing the pixels of the composite vehicle feature in the
automatic-license-plate-tracking
- 本程序开发环境：vc6.0 opencv1.0 整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。 实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头. 打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。 操作步骤：程序主界面：有打开摄像头，关闭摄像头，截取图片，车牌识别 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。 截取图片，在打开设摄像头的情况下，
pinggan_v82
- 实现用SDRAM运行nios，同时用SRAM保存摄像头数据，中介真值程度度量，基于中介真值程度度量的图像分割实现了图像的灰度化并进一步用于视频监视控。- Implemented with SDRAM run nios, while saving camera data SRAM, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the
Background-separation
- 高斯处理视频并跟踪运动做前景背景分割，可用来做前背景分离，分离出运动物体，达到抠图的效果-Gauss video processing and tracking moving foreground background segmentation, can be used to do before the separation, separation of a moving object, to achieve the effect of Gauss matting video processin
grabcut_annotation_tool-master
- 用于注释视频序列或单个图像中的对象分割的半自动分割Grabcut算法的实现。-This is an implementation of a semi-automatic segmentation Grabcut algorithm for annotating a object segmentation in a video sequence or in a single image.
pangmang
- 中介真值程度度量，基于中介真值程度度量的图像分割实现了图像的灰度化并进一步用于视频监视控，采用的是通用的平面波展开法。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Achieve a grayscale image and further control for vi
wc808
- 实现了图像的灰度化并进一步用于视频监视控，pwm整流器的建模仿真，粒子图像分割及匹配均为自行编制的子例程。- Achieve a grayscale image and further control for video surveillance, Modeling and simulation pwm rectifier Particle image segmentation and matching subroutines themselves are prepared.
cheliangjiance
- 这是我的课程设计作业，作用是测试车流量，对车辆进行定位分割，已验证成功内附测试视频-This is my course design work, the role is to test the traffic flow, the vehicle positioning and segmentation, has been successfully included in the test video
cheliangjishu
- 这是我的大作业，作用是测试车流量并计数，使用高斯模型对车辆进行定位分割，已验证成功内附测试视频-This is my big job, the role is to test the traffic flow and counting, the use of the Gauss model of the vehicle positioning and segmentation, has been verified successfully included test video
CapScreenAndAudio
- CapScreenAndAudio说明： 用C#实现的录屏软件，录制为AVI格式。获取文件大小及帧数，然后输入开始帧数和结束帧数，单击“分割”按钮，即可分割该视频文件。(CapScreenAndAudioDescr iption: C# implementation of the screen recording software, recorded as AVI format. Get the file size and the number of frames, and then ente
pyscenedetect-master
- 检测视频中镜头，对视频进行分割，使用python语言。(Detect video shots, video segmentation)
tnn7_code_201212141110
- 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
LicenseplateRecognition
- 车牌牌照检测识别完整源代码 开发环境：vc6.0和opencv1.0 整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。 实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头. 打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。(License plate recognition)
movement_detecting
- 本代码实现的是视频中运动目标的分割,采用了三帧差法进行目标检测。(The code is in the video moving target segmentation, using three difference method for target detection.)
17
- 17.【跟踪分割视频中运动的物体】segment_objects(17. [tracking segmentation of moving objects in video] segment_objects)
shotsegments-master
- 本代码实现了视频镜头分割，采用基于颜色直方图的方法(This code implements the video shot segmentation, using the method based on color histogram)
OTSU
- 视频处理中的类间最大差分法，进行图像分割，为后续处理准备。(Video processing in the class of the maximum difference between the method of image segmentation, preparation for the follow-up.)