methods of object tracking in vision systems
DESCRIPTION
Faculty of Electronics Institute o f Telecommunication. Military University of Technology. METHODS OF OBJECT TRACKING IN VISION SYSTEMS. Grzegorz Bieszczad Tutor: Tomasz Sosnowski ph.d. . Applications. Surveillance Video compression Motion capture Traffic control Driving assistance - PowerPoint PPT PresentationTRANSCRIPT
METHODS OF OBJECT TRACKING IN VISION
SYSTEMSGrzegorz Bieszczad
Tutor:Tomasz Sosnowski ph.d.
Military Universityof Technology
Faculty of ElectronicsInstitute
of Telecommunication
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ApplicationsSurveillanceVideo compressionMotion captureTraffic controlDriving assistanceIndustry
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Object tracking
fn-1(x,y)
fn(u2,v2)
(u1,v1)
(u3,v3)
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Vision system
Image acquisition
Object detection
Tracking Algorithm
Decision algorithms
Objects models
database
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Digital image
Original image
Numeric representation
Image representation inpoints of certain luminosity
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Methods revision Gradient-based methods Feature-based approaches. Knowledge-based tracking
algorithms. Learning-based approaches.
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Mean shift algorithm1. Calculate model from given previous
image in given location.2. Initialize the location of the target in
the current frame and calculate candidate model.
3. Estimate model and candidate similarity in neighbourhood.
4. Iteratively find the most similar area in target image.
5. Update the model
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Model and candidate
Frame 1
Frame 2
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Similarity estimation
m
uuu qBpqBpB
1
,
Bhattacharyya coefficient
m
u u
uu
m
uuu Ap
qBpqApqBp11 2
121,
Bhattacharyya coefficient Taylor expansion
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Mean shift procedure
Mean shiftoperating area
Local centroid(centre of mass)
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p
n
i
nii
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niii
n
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hBYgwY
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Test sequence
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Tracking in thermovision
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ConclusionsFeature based methodInvariant to rotation and scaleFast implementationTolerant to partial occlusionsTolerant to changes of appearanceLimited rangeLimited performance in low resolution
images
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