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文件名称:OpenTLD-master

  • 所属分类：
  • 视频捕捉/采集
  • 资源属性：
  • [Matlab] [源码]
  • 上传时间：
  • 2014-10-08
  • 文件大小：
  • 16.72mb
  • 下载次数：
  • 0次
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  • 别用迅雷下载，失败请重下，重下不扣分！
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介绍说明－－下载内容均来自于网络，请自行研究使用

TLD算法代码。TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的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。-The object is defined by its location and extent in a single fr a me. In every fr a me that follows, the task is to determine the object s location and extent or indicate that the object is not present. We propose a novel tracking fr a mework (TLD) that explicitly decomposes the long-term tracking task into tracking, learning and detection. The tracker follows the object　fr a me to fr a me. The detector localizes all appearances that have been observed so far and corrects the tracker if necessary. The learning estimates detector s errors and updates it to avoid these errors in the future. We study how to identify detector s errors and learn　them. We develop a novel learning method (P-N learning) which estimates the errors by a pair of　experts　: (i) P-expert estimates missed detections, and (ii) N-expert estimates false alarms. The learning process is modeled as a discrete dynamical system and the conditions under which the learning guarantees improvement are found. We describe our real-time
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下载文件列表





OpenTLD-master\bbox\bb_burn.m

..............\....\bb_center.m

..............\....\bb_click.m

..............\....\bb_click_move.m

..............\....\bb_cluster.m

..............\....\bb_cluster_confidence.m

..............\....\bb_correct.m

..............\....\bb_distance.m

..............\....\bb_draw.m

..............\....\bb_get_similar.m

..............\....\bb_height.m

..............\....\bb_hull.m

..............\....\bb_isdef.m

..............\....\bb_isin.m

..............\....\bb_isout.m

..............\....\bb_normalize.m

..............\....\bb_points.m

..............\....\bb_predict.m

..............\....\bb_rescale_absolute.m

..............\....\bb_rescale_relative.m

..............\....\bb_scale.m

..............\....\bb_scan.m

..............\....\bb_shift_absolute.m

..............\....\bb_shift_relative.m

..............\....\bb_size.m

..............\....\bb_square.m

..............\....\bb_width.m

..............\compile.m

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