文件名称:motion
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- 上传时间:2012-11-16
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文件大小:1.14mb
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This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classication, etc.).
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classication, etc.).
相关搜索: object tracking Matlab
tracking motion matlab
object tracking
noise tracking
object motion extraction
motion real matlab
feature-based object tracking
bounding box
object detect
video frame MATLAB
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下载文件列表
motion/Read me.txt
motion/Related Document.pdf
motion/run.m
motion/SampleVideo.avi
motion/tracking.asv
motion/tracking.m
motion
motion/Related Document.pdf
motion/run.m
motion/SampleVideo.avi
motion/tracking.asv
motion/tracking.m
motion
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