基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in differe

Implementation of the Self Similarity descr iptor based on the paper: Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani CVPR 07-Implementation of the Self Similarity descr iptor based on the paper: Matchi

基于小波变换的多分辨匹配算法: 首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。 -Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the imag

Block matching algorithm,find the most similarity block in the neighborhood. Block matching algorithm,find the most similarity block in the neighborhood.-Block matching algorithm,find the most similarity block in the neighborhood.Block matching algor

This package contains the Matlab implementation of the method proposed by W. Lian and L. Zhang, “Robust Point Matching Revisited: A Concave Optimization Approach,” in ECCV 2012.There are two main files, "demo_2D_similarity.m" for demonstrat