Tracking Learning Detecting-TLD 学习笔记1

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Tracking Learning Detecting-TLD 学习笔记1

上学期就从某位大神(http://blog.csdn.net/zouxy09/article/details/7893011)的CSDN博客中看到TLD算法,感觉挺不错的,一直关注着,现在需要做视频目标跟踪了,现在开始正式研究它,国内有不少朋友,在看ZK的TLD算法,算是自己不寂寞了。这里写下的权当自己学习经历。

这是TLD1.0版本的介绍,地址https://github.com/arthurv/OpenTLD


TLD 1.0 (Predator)----------------------------------------------------------------------------TLD is an algorithm for tracking of unknown objects in unconstrained video streams. The object of interest is defined by a bounding box in a single frame. TLD simultaneously tracks the object, learns its appearance and detects it whenever it appears in the video.1. License: GPL 2. Project: http://info.ee.surrey.ac.uk/Personal/Z.Kalal/tld.html3. Wiki: https://github.com/zk00006/OpenTLD/wiki.4. Group: http://groups.google.com/group/opentld. @article{Kalal2012, author = {Kalal, Z and Mikolajczyk, K and Matas, J}, journal = {Pattern Analysis and Machine Intelligence}, title {Tracking-learning-detection}, year = {2012}}----------------------------------------------------------------------------(c) 2011 Zdenek Kalal

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