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Success5.6
- 视频序列中运动目标的提取 采用HOS法-video sequences campaign objectives are extracted using HOS law
ReadingPeopleTracker-1.28
- 视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响-Video Object Extraction of the tracking code to identify effective movement of people and objects, accurate edge, Scenes from the impact
intensity
- 视频处理中,镜头的运动活力等级计算和提取-video processing, the camera's movement and vitality levels calculated from
ExtractingSportsObjects
- 运动对象提取 VFWImageProcessor 设定阈值 提取运动的对象
对缓慢运动的对象进行跟踪提取检测
- 视频对象跟踪检测，有效对缓慢运动的对象进行跟踪提取检测,Video object tracking detection, effective on the slow movement of the object detection tracking Extraction
tutorial
- 利用ffmpeg提取视频中的运动强度描述子，（用来描述视频的运动特征的描述子），用来作为视频检测的参数-Extraction using ffmpeg video exercise intensity descr iptor, (used to describe the movement characteristics of video descr iptors), used as a video detection parameters
py
- 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files.
Object_Tracker
- 已调试通过，复杂背景下视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响 -Has been debugged, complex background extraction of video object tracking source code, can effectively identify the movement of people and objects, edge accuracy, from the scene of
1
- 本文提出一种基于H．264低比特率视频流的半脆弱盲水印方法，通过在H．264特有的的帧内预 测和运动向量预测中分别嵌入鲁棒水印和脆弱水印，达到版权保护和内容完整性认证的双重目的．通过在嵌入强 度和预测模式选择的拉格朗日乘子中引入H．264量化因子，增强了水印对重量化编码的抵抗力，取得更好的率 失真平衡，减小水印嵌入对视频流比特率的影响．该算法可以实现水印的快速嵌入提取，满足视频实时处理的要 求，实验结果证明了该算法的有效性．-A novel semi—fragile blind
test2
- 采用帧差法提取运动物体，适用于图像呵视频，效果一般。-Frame difference by moving object extraction for video image Ah, the general effect.
shipin
- 主要是对视频的提取,即对视频中运动目标的提取。-describe the methed of video
yinxiefenxin
- 基于运动矢量的视频隐写分析算法，提取出特征值进行分类器训练-Video based on motion vector steganalysis algorithm to extract the characteristic values for classifier training
MODby-frame-difference-method
- Moving object detection by frame difference method是当前视频图像领域进行动目标捕捉的最简单有效的方法，核心思想是从视频中提取每一帧，并与下一帧做相关检测，通过相关系数提取运动的目标。-Moving target detection and frame difference method is the current video image field is moving the most simple and effective method t