文件名称:object-tracking-based-on-TOD
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基于纹理和边缘方向特征融合的目标跟踪程序代码,是基于mean shift框架的-This paper proposes a powerful and robust local descr iptor,called textureorientation
descr iptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more short, fragmentary
and vertical edges, the proposed TOD descr iptor encodes the spatial information
of pedestrian image. We combine the proposed TOD representation
model with mean shift fr a mework to perform pedestrian tracking. Results
from experiments show the improved performance of the proposed algorithm,
in the scenarios of heavy occlusions, illumination variations and similar
objects interference, when compared with the other descr iptors based trackers.
descr iptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more short, fragmentary
and vertical edges, the proposed TOD descr iptor encodes the spatial information
of pedestrian image. We combine the proposed TOD representation
model with mean shift fr a mework to perform pedestrian tracking. Results
from experiments show the improved performance of the proposed algorithm,
in the scenarios of heavy occlusions, illumination variations and similar
objects interference, when compared with the other descr iptors based trackers.
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下载文件列表
edgetexture.m
sangechidutedeohtracking.m
TEDtexture.m
sangechidutedeohtracking.m
TEDtexture.m