搜索资源列表
moving-target-detection
- 基于背景差分法的运动目标检测-Background difference method based on motion detection! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
detecting
- 运动目标检测,背景差分法提取运动前景目标，背景自动更新-moving object detection
AVI
- 光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测-moving objective detection matlab
BlockMotionestimation
- 本代码计算帧间光流场，通过阈值分割获得运动矢量，对当前帧进行补偿，配置差分后实现运动目标分割，解决复杂背景下运动目标的检测问题。-This code interframe optical flow field calculated by threshold segmentation to obtain motion vectors, to compensate for the current frame, after the implementation differential configu
MotionDetection
- 静止背景下运动目标检测，采用帧间差分的方法进行运动目标识别-Static background motion detection, frame difference methods using Moving Object Recognition
MovingDetect
- matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
Background_modeling_of_dynamic_scenes_based_on_tar
- 基于背景建模的动态场景目标检测,介绍了背景建模的步骤和重要的方法，然后介绍了根据背景差分法，来提取运动目标，从而进行跟踪-Background modeling of dynamic scenes based on target detection, background modeling described the steps and important way, then introduced under the background difference method to extract
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
ASD
- 采用 背景差分法快速检测运动目标的 算法 背景差分 opencv c-Rapid detection by background subtraction algorithm for moving target background subtraction opencv c++
Wh2
- 基于背景差分的运动图像检测,对运动目标进行跟踪-Movement image detection based on background subtraction, tracking the moving target
nnn
- 基于背景差分的运动图像检测,对运动目标进行跟踪-Movement image detection based on background subtraction, tracking the moving target
TrafficSurveillance
- 交通场景中运动目标的检测，背景差分，中值滤波，边缘检测-Traffic scenes in moving object detection, background subtraction, median filtering, edge detection
CvPixelBackgroundGMM
- 一种基于混合高斯背景建模算法的运动目标检测背景背景差分源程序-code of mixture Gussian Backgrand Modeling
Object-Detection
- 具有实时检测、跟踪和分析判断的智能化监控系统是智能化监控系统发展的必然趋势，本文提出一种在实时监控下检测和跟踪运动目标的方法，首先使用背景差分法检测出运动目标，并定期使用背景更新策略对参考背景进行局部更新，这样可以提高目标检测的精确度。目标跟踪时在不同的尺度空间获得目标的关键点，增强算法目标在遮挡情况下的鲁棒性， 接下来使用mean shift 算法估计目标在下一帧的位置。-Intelligent monitoring system with real-time detection, track
beijingchafen
- 背景差分检测代码，利用背景差分方法检测运动目标，可以实现-The background differential detection code, using background subtraction method to detect moving targets can be achieved
Video-Demo
- VC++视频图像运动目标检测，视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 视频只限于RGB非压缩Windows AVI格式-VC++ video image moving target detection, video presentations algorithm including: 1. The background prediction target d
background-differencing
- 在VC6.0下实现静态背景下的运动目标检测，背景差分法的实现-Under the VC6.0 static background moving target detection, background subtraction method to achieve
vibe_tom
- 一种改进的VIBE运动目标检测算法，属于背景差分法，能对不同环境的目标进行检测，能消除鬼影。(The moving target detection algorithm VIBE belongs to background difference method. It can detect objects in different environments and eliminate ghosts.)
background
- 使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)
test2
- 对视频序列中的运动目标进行检测与跟踪，动目标检测部分采用背景差分法，跟踪部分采用卡尔曼滤波，检测结果用红色外接矩形框表示，跟踪结果用绿色矩形框表示 2、采用平均背景法更新背景图像。(The moving target in the video sequence is detected and tracked, the moving target detection part uses the background difference method, the tracking part uses