搜索资源列表
20081004
- GMM 混合高斯自适应背景维护 可以用来做行人检测 等
基于团块的运动目标检测
- 改程序用于运动目标检测，可以快速准确的检测出运动目标，如行人，车辆等
TLD
- 使用TLD进行行人检测，速度很快，效果很好
HOG-LBP-detection
- matlab 实现的hog和lbp 结合的行人检测-matlab hog-lbp detection
learcode
- 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
pedestrians128x64.tar
- MIT行人检测数据库，包含了924副行人图像。是计算机视觉领域的重要数据库。-MIT pedestrian detection database, contains 924 pedestrian images. Is an important field of computer vision database.
PedestrianDetectionHoG
- HOG特征行人检测 SVM支持向量机 分类-HOG feature pedestrian detection SVM support vector machine classification
hog
- matlab实现HOG算法，用于行人检测-Matlab HOG algorithm for pedestrian detection
pedestrian_behavior
- 这个来自巴基斯坦的研究，关于行人检测的，封装无代码-The Pakistan study on pedestrian detection, packaging code
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.
voc-release3.1
- 使用discriminitive part based hog feature 来进行行人检测-use discriminitive part based hog feature pedestrian detection
project3
- matlab实现的行人检测加跟踪，对学习图像处理的同学很有帮助-matlab implementation of pedestrian detection and tracking, help students learn image processing
paper2
- 行人检测技术综述.pdf -Summary of Pedestrian Detection technology
MotionPDetection
- 运动目标检测与跟踪的matlab代码，包含实验数据，代码解释。有助于行人检测，智能交通，视频监控等领域的研究。-Moving target detection and tracking matlab code, contains the experimental data, code interpreter. To help pedestrian detection, intelligent transportation, video surveillance, and other areas
pedestrain
- 经典的行人检测算法，利用HOG和SVM实现此算法。已调试可以正常运行。-Classic pedestrian detection algorithm, HOG and SVM to implement this algorithm. Has debugging normal operation.
eibe-crowdedscenes-cvpr05
- 复杂环境下的行人检测论文，能简单处理遮挡问题-Pedestrian detection papers in a complex environment can be simple to deal with the occlusion problem
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)
HOG 行人检测代码
- 本文针对运动目标的检测和跟踪这一研究课题，深入研究了两种非常重要的检测和跟踪技术-光流技术和帧差法的检测技术，在运动目标检测和跟踪中的应用中，对光流法和帧差法的优缺点进行了实验分析，文中所描述的这两种检测和跟踪技术和方法都通过仿真实验进行了验证。(Detection and tracking of moving targets, the author of this paper the research topic, further study of the two very important
Adaboost
- 用Adaboost实现行人检测中的漏检率，与boosting进行比对。(Using Adaboost to achieve missed detection rate in pedestrian detection, compared with boosting.)
DPM
- 行人检测的很好，现在很多数据库都用DPM做这个检测(Pedestrian detection is very good. Now many databases use DPM to do this detection.)