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UKF_track.rar
- 对人体的图像序列进行unscented kalman filter 追踪，参考最经典的UKF算法编写，是学习UKF算法的比较入门的程序,Image sequences on the human body, unscented kalman filter for tracking, the most classical reference to the preparation of the UKF algorithm is a learning algorithm UKF procedure en
track
- 这是跟踪物体的程序，c语言编写的主体框架。仅供参考。-This is tracking the object program, the main body of the framework written in c language. Only for reference.
mean_shift
- MeanShift算法在运动人体跟踪MATLAB代码-MeanShift algorithm in MATLAB code tracking of moving body
skin-detection
- This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this scr ipt can be refined and proc
Human_Motion_Detection
- 本代码成功而及其有效地探测了运动物体的tracking的问题，对于人体的运动进行跟踪，经测试完好使用。-The successful and effective code to detect the problem of tracking moving objects, tracking the movement of the human body, tested good use.
cd4ef1.ZIP
- 基于蒙皮模型和WEOPA的人体外形和运动跟踪Based on skin model and WEOPA body shape and motion tracking-Based on skin model and WEOPA body shape and motion tracking
Motion-Detection
- 智能交通系统中的视频中的行走人体的检测与跟踪，-Motion detection and human body tracking
Effectual-Method-for-Crowd-Counting
- 对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统 计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
MATLAB-Code
- 仿真是现代雷达系统设计成功的基础，从这一点来说，没有任何软件比MATLAB更好。本代码提供雷达系统仿真常用MATLAB程序，内容包括：雷达基础导论、雷达检测、雷达波形、雷达模糊函数、脉冲压缩、面杂波与体杂波、动目标显示和杂波抑制、相控阵、目标跟踪、电子对抗、雷达截面积、高分辨率战术合成孔径雷达、信号处理等，提供MATAB文件和雷达系统设计与分析所需要的实际仿真经验-Simulation is a modern radar system design basis for success, from
imCRBM
- implicit mixtures of conditional restricted boltzmann machines for human body tracking
generate_skinmap
- 克以及有所给出的图片可以有效识别人脸，手，身体的matlab代码(This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by thi