?? mean-shift based moving object tracker - bilkent university.mht
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Subject: Mean-shift Based Moving Object Tracker - Bilkent University
Date: Fri, 21 Apr 2006 11:40:37 +0800
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<HTML><HEAD><TITLE>Mean-shift Based Moving Object Tracker - Bilkent =
University</TITLE>
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<H1>Bilkent University</H1>
<H2>Mean-shift Based Moving Object Tracker</H2>Moving objects are =
characterized=20
by their color-histograms. Therefore the key operation of the object =
tracking=20
algorithm is histogram estimation. Mean-shift tracking algorithm is an =
iterative=20
scheme based on comparing the histogram of the original object in the =
current=20
image frame and histogram of candidate regions in the next image frame. =
The aim=20
is to maximize the correlation between two histograms.=20
<P>Object tracking for an image frame is performed by a combination of =
histogram=20
extraction, weight computation and derivation of new location. <BR><BR>
<H4>Sample result images:</H4><IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image1.jpg"></IMG> =
<IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image2.jpg"></IMG> =
<IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image3.jpg"></IMG><BR=
><IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image4.jpg"></IMG> =
<IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image5.jpg"></IMG> =
<IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image6.jpg"></IMG><BR=
>
<H5>Figure 1: Moving object tracking results; frame 1, 10, 20, 30, 60 =
and=20
70.</H5><BR>
<H4>Sample Result Video Clip:</H4>Click image to see sample result video =
file.<BR><BR><A=20
href=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/SampleTrackResult_WM=
V.avi"><IMG=20
src=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/image1.jpg"></IMG></A=
><BR>
<H2>How to Use Tracking Code?</H2>Mean-shift based tracking code was =
developed=20
by using C++. Download the C++ header and source files <A=20
href=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/ObjectTracker.h">Obj=
ectTracker.h</A>=20
and <A=20
href=3D"http://www.cs.bilkent.edu.tr/~ismaila/MUSCLE/ObjectTracker.cpp">O=
bjectTracker.cpp</A>=20
and include those files in your project. The following steps should be =
performed=20
in order to use the tracking code.=20
<H3>1- To construct tracker object:</H3><PRE><FONT color=3D#333399>
CObjectTracker *m_pObjectTracker =3D new CObjectTracker(INT32 imW,INT32 =
imH,=20
IMAGE_TYPE =
eImageType);
</FONT>
imW and imH: Image width and height respectively.
eImageType : Describes how many bits are used per pixel such as 24 or =
32.=20
The definition of IMAGE_TYPE can be found in header file.
</PRE>
<H3>2- To initialize object parameters in the first =
frame:</H3><PRE><FONT color=3D#333399>
m_pObjectTracker->ObjectTrackerInitObjectParameters(SINT16 x,SINT16 =
y,
SINT16 Width,SINT16 =
Height);
</FONT>
(x,y) : The center coordinates of object box.
Width, Height: The width and height of the object box.
</PRE>
<H3>3- To track the object in the next frames:</H3><PRE><FONT =
color=3D#333399>
m_pObjectTracker->ObjeckTrackerHandlerByUser(UBYTE8 *frame);
</FONT>
frame: Frame buffer to be processed.
</PRE>
<H3>4- To delete tracker object:</H3><PRE><FONT color=3D#333399>
delete m_pObjectTracker, m_pObjectTracker =3D 0;
</FONT>
</PRE><BR>
<H2>Contact details:</H2>Halil I. CUCE<BR>E-mail: hic@ee.bilkent.edu.tr=20
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