这是一种新的单目标长时间（long term tracking） 跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的显著特征点和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。-This is a new single target for a long time (long term tracking) tracking algorit

tld track learning detection 结合的目标跟踪算法，通过实时在线学习使跟踪更具鲁棒性-target tracking algorithm combined tld track learning detection by real-time online learning so that more robust tracking

最先进的在线学习算法,用于机器学习和数据挖掘研究。目前它支持30 +在线线性算法和变异二进制分类和多级分类任务-consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binar