搜索资源列表
sanzhencha
- 三帧差法目标检测，可以检测运动视频中的目标，并标注边界-Three frame difference target detection
kalman-object-detection
- 用卡尔曼滤波来检测视频中的小运动目标，例子为检测一个运动场景中的乒乓球-Using kalman filter to detect small moving targets in video, example for detecting a movement in the scene of table tennis
matlab
- 基于matlab的运动目标的检测和图像处理-Moving target detection
Meanshift
- 摄像头固定情况下的运动行人跟踪进行研究，Mean Shift算法，与目标区域灰度直方图结合，进行运动目标的检测跟踪-tracking study of the movement of pedestrians in case of a fixed camera introduces a better application of Mean Shift algorithm
opticalflowtracking
- 运动人体的检测，对采集的视频中运动目标的检测和跟踪，用到opencv相应的highgui库和cv库，能够很好检测出人体轮廓。-Human movement detection for video capture moving target detection and tracking, use the appropriate highgui opencv libraries and cv library, can well detect the body contour.
move
- 设计一个视频监控软件，完成对运动目标的检测及视频存储功能。-Design a video surveillance software to complete the moving target detection and video storage.
Based-on-the-ATrous-algorithm
- 基于_Trous算法的红外序列图像中运动目标的检测与跟踪-Based on _Trous algorithm of detection and tracking of moving targets in infrared image sequences
radar-moving-target-simulation
- 利用固定目标和运动目标之间速度的差别所引起的多普勒频移不同根据在动目标 显示和动目标检测中使用的各种滤波器去除固定杂波提取动目标的回波能够大大 改善在杂波背景下检测运动目标的能力仿真结果显示出很好的效果也给出了改善 因子与积累脉冲数间关系 -radar moving target simulation
The-Frame
- 本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标-This procedure using the inter-frame difference method to detect moving targets, the difference image obtained by inter-frame difference, then processed using mathematical morphology, highlightin
aaa
- 用于运动目标的检测，对目标进行二值化并提取目标的最小外接矩形，从而获取相关数据-The image data of consecutive frames graying binary and intercept the target minimum bounding rectangle to obtain the target
bgfg_egmml
- 采用混合高斯模型对背景进行建模，然后对视频的运动目标进行检测！-By using the gaussian mixture model for background modeling, and then to detect the moving targets of video!
test_depth
- 通过光流计算视屏中的运动显著目标 目标检测 异常运动检测-optical flow motion saliency
target-detectio
- 常见的目标检测方法主要有光流法，帧差法和背景模型法。光流法利用背景和运动目标的运动速度不同进行目标检测，计算量较大；帧差法对连续几帧图像的背景进行配准，通过前后帧的差分图像分离出运动物体；背景差法根据已知背景对图像进行差分，在运动背景下需要对背景模型进行更新。-Common target detection methods are mainly optical flow method, frame differential method and background model method.
vmd642_video_out0_VideoReverse
- 基于DM642的运动物体检测，使用卡尔曼滤波进行多目标跟踪，已在系统上验证-Moving object detection based on DM642, using Calman filter for multi-target tracking, has been verified on the system
ikldemo
- visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法，检测视频运动目标。鼠标点击目标点，视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
Target-Detection
- 三帧差法检测运动目标位置（背景需要静止效果最好）-Three-difference frame method to detect moving target position (background still needs best)
vcimageprocessedcc
- 包含所有有关图像处理的源码，图像增强，运动目标跟踪检测，图像恢复，图像去噪等多个图像处理的源码-Contains all the source of image processing, image enhancement, tracking a moving target detection, image restoration, image denoising, and other image processing of source code
sy5
- 改进的混合高斯背景模型，用于检测运动目标，能够有效的提取前景-Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect
motion-target-detection
- 利用差分法，实现对运动目标的检测，提取轮廓等-Image segmentation, motion target detection