【文件属性】：
文件名称：基于背景权重视频追踪
文件大小：842KB
文件格式：RAR
更新时间：2016-09-02 09:19:34
背景权重追踪
The background-weighted histogram (BWH) algorithm proposed in [2] attempts to
reduce the interference of background in target localization in mean shift tracking. However,
in this paper we prove that the weights assigned to pixels in the target candidate region by
BWH are proportional to those without background information, i.e. BWH does not introduce
any new information because the mean shift iteration formula is invariant to the scale
transformation of weights. We then propose a corrected BWH (CBWH) formula by
transforming only the target model but not the target candidate model. The CBWH scheme
can effectively reduce background’s interference in target localization. The experimental
results show that CBWH can lead to faster convergence and more accurate localization than
the usual target representation in mean shift tracking. Even if the target is not well initialized,
the proposed algorithm can still robustly track the object, which is hard to achieve by the
conventional target representation.
【文件预览】：
CBWH_IET_Computer Vision
----CBWH_Demo.m(7KB)
----test video()
--------player.avi(332KB)
--------Thumbs.db(10KB)
--------ball.avi(532KB)
----rgbTracking_BWH.m(3KB)
----select.m(656B)
----tracking result()
--------Thumbs.db(174KB)
----rgbPDF.m(1KB)
----rgbTracking.m(3KB)
----rgbPDF_bg.m(2KB)