visual tracking of moving objects pptfrom us
DESCRIPTION
TRANSCRIPT
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Domain of image processor
From karuna sree.kankanala and ushakiran .sampara btech-2nd year CSE
visual tracking of moving objects
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What is tracking?2
Tracking is the problem of generating an inference about the motion of an object given a sequence of images.
Analogies of “tracking”
A spy “following” you A missile “targeting” a ship A detective “spotting” the suspects A typical scene of “chasing car” in a Hollywood
movie
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Motion capture
Recognition from motion
Surveillance
Targeting
Any other applications you can think of ~
3
Why Tracking?
HOW do we do it?
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SOLUTION –KALMAN FILTER
1-d 2-dWorking;PredictionCorrection
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PICTURES
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System View
Images
BG
Modeling
FG
Isolation
Median
Filtering
Object
“Blobbing”
Centroid
Detection
Motion Gradient
Estimation
Motion Rep.
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Pictures
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GRAPH
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Is this practical?
Yes, and it has many uses. For example,
1. Traffic (Intersections, Highways)
2. Sports Events (many cameras)
3. Surveillance (fixed cameras)
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Motion Capture
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ConclusionBackground Modeling is very robust to different
noise factors and seems to be a reliable stepping stone for automatic layering. (Drawback: can be slow)
Object Segmentation becomes easier with a reliable background model.
Motion trajectories can be computed with any of the known parametric models for motion estimation.
Though we face few problems like grouping and occlusion while tracking an object by using some techniques we can overcome them .
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