搜索资源列表
ObjectRecognize
- 实时运动物体分割，识别，分类算法，效果不错，采用弱分类器 gentel adaboost 算法-Real-time Object Classification in Video Surveillance Based on Appearance Learning
Addrectangle
- 它是一个基于opencv库的程序，能够很好的区分出运动物体，并能够将运动物体分离出来。-It is a library opencv-based procedures, be able to distinguish a very good moving objects and moving objects can be separated.
bkgrd
- 该程序读取视频，利用背景建模，实现运动物体的检测-Read the program video, the use of background modeling, the realization of the detection of moving objects
backmodel
- EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc.
Combination-of-Multiple-Features-for-Object-or-Bac
- 通过组合多种图像特征 ， 实现 了一种新的检测运动物体方法。 一方 面，组合 图像 的颜 色、梯度和纹理特征 ， 利用梯度和纹理信息对亮度变化不敏感的特性，提高运动物体分割的准确性 ；另一方面，使用图切割算法对物体／ 背景进行分割， 在不影响整体分割 结果前提下修 正局部判别错误 的像素点， 分割结果噪声少且稳定性强。 -A novel method is proposed to detect moving objects based on the linear combination of
ameanshifttrackerimplementationsinndhume
- 关于运动物体跟踪的论文，ameanshifttrackerimplementations-Moving object tracking on the paper, a-mean-shift-tracker-implementations
blobtrack
- 一个基于vc++的运动物体跟踪的程序代码，希望对大家有所帮助，测试无误-Vc++ based object tracking the movement of program code, want to help everyone, test and correct
47651469motion_search
- 运动估计，首先要解决的问题是如何 从序列图像中提取有关物体运动的信息，这个过程称为运动估计-47651469motion_search
kalman_filter
- 应用于在地面有起始运动的卡尔曼滤波器。物体运动检测识别。-The filter was applied to trajectory of body that start motion on the ground with velocity start at angle 40 degrees. First part of the code generate this motion. Nose added to simulate nose of measurement or nose of obje
Trajectory analysis
- 弹道分析Matlab仿真程序，比较精确的描述导弹等快速运动物体的弹道曲线-Trajectory analysis of Matlab simulation program, more precise descr iption of missiles, the ballistic curve of fast-moving objects
kalman
- 用卡尔曼滤波方法跟踪运动物体，从而检测出运动物体目标-The first just does detection by background subtraction. This can be considered as the ground truth. The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is comp
meanshift
- 用均值漂移法跟踪运动物体，实时性和准确性高。-pedestrian tracking using meanshift
StripeBoundaryCodesForReal-timeStructured-lightRan
- 理论方面，提出了结构光扫描在时间空间相干性上的一些假设。实践方面，提出了一套编码方式应用于刚性物体的模型以及运动物体的校准。-Based on the principle,we present spatial and temporal coherence assumptions by structured-light scanning.Based on this examination,we apply a new set of codes for complete models of rigi
000
- 可以识别运动中的球星物体，代码中以月球向地球靠近为例子-Can identify the movement of the star objects
camshift
- Continuously Apative Mean-Shift",主要通过视频图像中运动物体的颜色信息来达到跟踪的目的-Continuously Apative Mean-Shift " , mainly by moving objects in video color information to achieve the purpose of tracking
tracking
- 目标跟踪用于识别目标在运动物体跟踪有效算法的身份非师范方式-Tracking
lkpf
- 基于OpenCV的流光法跟踪运动物体的算法采用C++语言编写-Based on the passing of the Law OpenCV algorithm to track moving objects using C++ language
CamShift
- CamShift算法，即"Continuously Apative Mean-Shift"算法，是一种运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪的目的。我把这个算法分解成三个部分，便于理解： 1) Back Projection计算 2) Mean Shift算法 3) CamShift算法-CamShift algorithm, that is, " Continuously Apative Mean-Shift" algorithm, is
avi
- 帧差法识别运动并描述运动物体轮廓。物体可从摄像头或视频文件中读取。-Frame difference method identify and describe the moving object contour movement. Objects from the camera or video file to read.
MOTION
- 帧差法运动目标检测,运动目标检测是计算机视觉的一个研究热点，在视频监控，军事侦察等领域有着广泛的应用前景。在这些应用中，大家比较关注运动着的物体，因此，对运动目标进行检测的意义显得格外重要。本文以视频序列作为研究对象，在现有研究成果的基础上提出一种算法，并在VC上实现-DIFF-FRAME DECTECTION