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target-tracking-python
- 在一段视频中,视频可输入,用鼠标划出一个举行窗口,圈出对应的目标物体 检测该物体特征,并跟踪目标的移动,画出轨迹。-target tracking
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.
backsubtraction
- 视频跟踪系统中,应用背景差分法进行动目标检测的算法,整理成word文档形式。-Video tracking system, background subtraction method of moving target detection algorithms, organized into word document form.
Kalman
- 本手册的研究内容主要有Kalman滤波,扩展Kalman滤波,无迹Kalman滤波等,包括理论介绍和MATLAB源程序两部分。本手册所介绍的线性滤波器,主要是Kalman滤波和α-β滤波,交互多模型Kalman滤波,这些算法的应用领域主要有温度测量、自由落体,GPS导航、石油地震勘探、视频图像中的目标检测和跟踪-kalman and Application
function-d
- 视频运动中的目标的跟踪方法。方法比较简单,算法也简洁易懂,比较适合对MATLAB不是很熟悉的同学使用和学习,不过还是要有一定的MATLAB语言基础-Tracking target video motion. The method is relatively simple algorithms are easy to read, more suitable for MATLAB is not very familiar with the students to use and learn, but
bgfg
- 高斯处理对视频做好前景与背景的分离,并跟踪目标!-Gaussian process video and track prospects do background isolated
mubiaogenzong
- 对视频中目标进行识别跟踪,四别处目标后对目标画出矩形框并跟踪。-Target recognition in the video track, the last four on away goals in a rectangular shape and target tracking.
FCT
- 快速跟踪 单目标 最近发表的算法 需要把视频图像放入 就可以运行-fast tracking
assignment5
- 对视频中的目标通过颜色进行跟踪,并用2D卡尔曼滤波跟踪器重新再次进行跟踪测定。-use color information to track a uniquely colored foreground blob,and also Implement a 2D Kalman filter tracker
5
- 文章详细描述了视频监控应用中,对背景模型进行初始化的算法,对目标的跟踪奠定了很好的基础-A Background Model Initialization Algorithm for Video Surveillance
AVPF
- 视频跟踪辅助粒子滤波程序AVPF,用于运动目标的视觉跟踪-Auxiliary particle filter video tracking procedures AVP, for visual tracking of moving objects
S_DLT
- 优化了的DLT算法,能够很好地跟踪目标。请下载woman等视频序列-Optimized DLT algorithm can track the target very well. Download woman and other video sequences
Background-isolated
- 背景分离,高斯处理视频,并做前后背景分离,跟踪运动目标-Background separation, Gaussian process video, and do before and after the separation of the background and track moving targets
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪,对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
camshift
- 实现视频图像的目标快速跟踪。使用了camshift和kalman滤波算法。实时性不错,代码简单。-Video images of fast target tracking. Use the camshift and kalman filtering algorithm. Timeliness good, simple code.
Object_tracking-master
- 利用meanshift算法,进行视频中运动目标的跟踪-Use the meanshift algorithm to track the motion targets in video
AV_A_PF
- matlab实现联合视频信息和音频信息对目标进行跟踪(The problem of tracking multiple moving speakers in indoor environments has received much attention. Earlier techniques were based purely on a single modality, e.g., vision. Recently, the fusion of multi-modal information h
VehicleTrack
- 视频车辆检测,主要是介绍视频中的车辆运动目标的检测和跟踪计数(The detection of video vehicle mainly introduces the detection and tracking of moving targets in video)
tnn7_code_201212141110
- 人脸检测与跟踪是一个重要而活跃的研究领域,它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现,并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利,实验结果证明了实时系统的准确性和有效性,甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
facedetection
- 人脸作为图像与视频中最重要的视觉对象之一,是智能人机接口等许多应用的处理目标对象。近年来,人脸检测技术在模式识别、计算机视觉、人机交互等诸多领域引起了普遍重视。之所以人脸检测技术在当今计算机视觉等领域的研究中占有重要的地位并成为研究焦点,主要在于以下两个方面:一方面将人脸作为基本是绝对想来考虑,子等检测与定位人脸是实现人脸识别、人脸跟踪、表情识别、人联合成与人脸编码、唇读等技术的必要前提(Face is one of the most important visual objects in im