가장 포괄적인 데이터 수집을 기반으로 Meanshift 알고리즘, 긴 시간이다, 나는 그러니까 교대 알고리즘을 Word 문서, PPT 자료, meanshift 대상 알고리즘 (MATLAB)을 기반으로 추적하고있다 알고리즘의 결정체를 수집, 거기에 아래의 방법에 해당하는 문서입니다 후회, 관리, 그리고 상호 이익. 테스트되었습니다.




File list:
meanshift文章、PPT、word文档、基于meanshift的跟踪程序
......................................\meanshift均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心
......................................\................................................................\color_example.m
......................................\................................................................\color_object_tracking2.m
......................................\................................................................\compute_kernelmatrix.m
......................................\................................................................\compute_k_hist.m
......................................\................................................................\compute_wi.m
......................................\................................................................\object_tracking.m
......................................\................................................................\readme.m
......................................\................................................................\show_target.m
......................................\................................................................\track.m
......................................\................................................................\说明.txt
......................................\一个外国人写的很好的meanshift聚类算法，有例程，可运行
......................................\...............................\Mean Shift A Robust Approach Toward Feature Space Analysis.pdf
......................................\...............................\MeanShiftCluster.m
......................................\...............................\testMeanShift.m
......................................\实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片
......................................\..........................................\meanshift
......................................\..........................................\.........\012.jpg

......................................\..........................................\.........\013.jpg

......................................\..........................................\.........\comparing.m
......................................\..........................................\.........\getkernalmatrix.m
......................................\..........................................\.........\getmeanshiftsegment.m
......................................\..........................................\.........\getsimilarity.m
......................................\..........................................\.........\get_cluster_property.m
......................................\..........................................\.........\hs_err_pid4076.log
......................................\..........................................\.........\meanshiftsmooth.m
......................................\..........................................\.........\myedge.m
......................................\..........................................\.........\Thumbs.db
......................................\An Introduction to Mean Shift.doc
......................................\meanshift.pdf
......................................\mean_shift.ppt