搜索资源列表
Pedestrian-Detection
- 一个简单的基于HOG的行人检测程序，MATLAB编写，其中read me文档解释的较为详细。-A simple HOG based pedestrian detection program, MATLAB write, read me the document which explains in some detail.
HOG
- 这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Moveman
- 用matlab编写的视频目标跟踪程序，可以跟踪路上的行人-Prepared using matlab video target tracking program, you can track the path of pedestrian
FaceRecognitionByMatLab
- 結合webcam 進行人臉辨識並有GUI方便可正確執行-Combined with webcam for face recognition and can facilitate the correct implementation of GUI
AdaBoost
- 人脸识别Adaboost源代码,用matlab编写实现，使用Adaboost算法进行人脸检测-source code for face recognation using Adaboost
Digital_Image_Correlation_080910
- 目标跟踪，本文围绕人运动的视觉分析中的重要课题——基于模型的行人跟踪——展开研究,它不仅涉及底层视觉的许多问题,还是高层视觉处理的基础。基于模型的跟踪是解决行人跟踪问题的一般性框架。-A Method of Passing People Tracking and Counting Based on Real- Time Image- Sequence
cdn
- 利用图像差分，进行人体跟踪，并记录视频帧中目标的坐标-Differential use of image for the human body tracking, and record the video frame coordinates of the target
matlab
- 使用一类支持向量机进行人脸检测的matlab源程序-ocsvm
PedestrianDetectionMethodBasedonAdaboostAlgorithm.
- Adaboost算法简单可靠、学习精度高的特点，提出一种基于Adaboost算法的行人实时检测方法的论文。-Adaboost algorithm is simple, reliable, high precision, the characteristics of study proposed, based on Adaboost algorithm for real-time detection method of pedestrian papers.
fenleiqi
- 本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.-This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, a
nldw
- 对室内的行人定位跟踪算法进行研究：包括基于RSS的KNN室内定位算法、基于RSS的卡尔曼滤波算法、融合RSS和DR的粒子滤波算法 等。-indoor pedestrian position tracking algorithm is studied, such as the KNN localization algorithm based on the RSS, the kalman filter algorithe based on the RSSthe particle filter a
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
matlab-face
- 人脸识别程序可以进行人脸定位及灰度图处理-Face recognition program
demo_01
- 用matlab编写的基于haar特征和SVM的行人检测代码集。其中包含了数据集。-Using matlab haar features and SVM-based pedestrian detection code set. Which contains the data set.
spact-matlab-master
- C4特征提取算法： 实现行人车辆检测，不包含正、副样本图片-C4 feature extraction algorithm: to achieve pedestrian vehicle detection, does not contain a deputy sample image
code3.2.1
- 应用于行人检测的源代码，MATLAB上可以打开运行(Copyright (c) 2012, Piotr Dollar All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions
matlab代码
- 基于matlab的行人检测代码 排名第2的目标检测算法：基于加州理工学院2009年行人检测的文章：Integral Channel Features（积分通道特征）(Pedestrian detection code based on MATLAB)
包含了步态识别的整一套流程的代码实现matlab
- 行人重识别 步态能量图 文件处理 归一化 步态识别 基于模型(Pedestrian recognition, optical flow method, gait energy diagram, document processing, normalized gait recognition)
MATLAB教室人数统计系统
- 该课题为基于MATLAB的教室人数统计，带有丰富的人机交互GUI界面。实现教室人数的计数统计，进而统计出勤率，上课认真听讲的比例。原先预设总人数，未出勤或者书本遮住脸部、趴着玩手机等必然无法采集到人脸，从而对应数量缺失，得出出勤率或听讲率。该课题采用肤色原理进行人脸定位和人脸分割。本课题中，为了界面GUI的美观，刻意将分割出的人脸单独显示在GUI对应的axes里。是个不错的设计选题。(This topic is based on MATLAB classroom statistics, with
MATLAB人数统计系统[GUI界面，论文]
- 该课题为基于MATLAB的肤色的人数统计系统，以地铁车厢为实际背景，通过预测的方式，结合肤色统计人脸得到车厢人数，从而估计拥挤度，将结果反馈给车站里的视频，让乘客得知每节车厢的拥挤程度，从而合理分配车厢乘客，避免资源浪费和拥挤，本设计带有一个GUI交互界面。是一个人数统计类课题，该课题可以应用于教室人数统计，十字路口行人统计等等方面。(This topic is based on MATLAB skin color statistics system, with the subway car a