搜索资源列表
vibe-background-32bits
- 感觉是一个功能强大的技术背景pixel-based视频序列中的检测。大量试验表明,它执行比已知的最新技术科学文献。此外计算负荷低于简单的背景技术实施的商业产品。情感是最完美的解决方案,软件和硬件实现。-ViBe is a powerful pixel-based technique that detects the background in video sequences. Many experiments have shown that it performs better than the
vibe-background-64bits
- 感觉是一个功能强大的技术背景pixel-based视频序列中的检测。大量试验表明,它执行比已知的最新技术科学文献。此外计算负荷低于简单的背景技术实施的商业产品。情感是最完美的解决方案,软件和硬件实现。 -ViBe is a powerful pixel-based technique that detects the background in video sequences. Many experiments have shown that it performs better than
ViBe
- 感觉是一个功能强大的技术背景pixel-based视频序列中的检测。大量试验表明,它执行比已知的最新技术科学文献。此外计算负荷低于简单的背景技术实施的商业产品。情感是最完美的解决方案,软件和硬件实现。 -ViBe is a powerful pixel-based technique that detects the background in video sequences. Many experiments have shown that it performs better than
ViBe
- ViBe看过速度最快的运动检测代码。效果不比混合高斯差。这份资料内容包括：ViBe源代码，Demo程序以及相关的论文资料-ViBe，I have seen the fastest movement detection code. Less effect than mixed Gauss. This information includes: ViBe source code, Demo program and the related papers
vibe
- 个人写的vibe程序，运行流畅。 b哥大作的个人实现版，准确率和高斯建模差不多，但运行速度极快-my personal code for vibe，run very fast
VIBE
- vibe算法对目标检测 检测效果很快 很实时性-vibe Target detection
ViBe
- VIBE 一种快速运动物体检测的方法，不需要建模 -VIBE a fast moving object detection method does not require modeling
ViBe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，很简单。-ViBe is a pixel-level video background modeling or prospects detection algorithm is better than several well-known algorithms, hardware memory footprint small, very simple.
vibe
- opencv中vibe背景建模已实现并测试的源代码-opencv the vibe background modeling has been implemented and tested source code
vibe建模
- VIBE 很好的一种背景建模方法。适合运动目标的建模，不适合长时间不动的物体
Vibe
- ViBe运动检测,特点是建模速度快，在第一帧便完成了场景建模，缺点是容易产生ghost，需要安装opencv环境。-ViBe : motion detection
Vibe-CPP
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，很简单。-ViBe is a pixel-level video background or foreground detection algorithm modeling, better than several well-known algorithms, hardware memory footprint small, very simple.
vibe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少。 不仅减少了背景模型建立的过程，还可以处理背景突然变化的情况，当检测到背景突然变化明显时，只需要舍弃原始的模型，重新利用变化后的首帧图像建立背景模型。(a powerful technique for background detection and subtraction in video sequences)
Vibe
- 图像特征提取，vibe算法，运动目标检测，单帧视频序列初始化背景模型(image characteristics extraction)
vibe-sources
- 背景提取算法VIBE实时动态监测运动人物，从背景中分离识别(Background extraction)
ViBe
- 根据经典的VIBE算法进行视屏图像的去抖动(Performs de-jittering of video images)
VIBE-master
- 基于vibe算法的目标检测()
vibe
- ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used
VIbe
- 使用opencv实现vibe算法，用于视频前景检测(Opencv implementation using vibe algorithm for video foreground detection)
Vibe
- 背景减除法Vibe，论文附录源代码，主要包括Vibe几个步骤。(This paper presents a technique for motion detection that incorporates several innovative mechanisms.)