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长春光学精密机械与物... [1]
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会议论文 [1]
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2006 [1]
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High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhang Y.
;
Wang Y.
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提交时间:2013/03/25
Many of the video image trackers today use the centroid as the tracking point. In engineering
we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds
it give a great help for us to get a glancing size
a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram
we can gain the binary image and get the centroid from it. To track the target
so that we can compare the size of the object in the current frame with the former. If the change is little
such as the number of the peaks
the paper also suggests subjoining an eyeshot-window
we consider the object has been tracked well. Otherwise
their height
just like our eyes focus on a target
if the change is bigger than usual
position and other properties in the histogram. Combine with this histogram analysis
we will not miss it unless it is out of our eyeshot
we should analyze the inflection in the histogram to find out what happened to the object. In general
the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression
what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement.
the paper offers a idea comes from the method of Snakes
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