Domain of image processor

From karuna sree.kankanala and ushakiran .sampara btech-2nd year CSE

visual tracking of moving objects

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

Motion capture

Recognition from motion

Surveillance

Targeting

Any other applications you can think of ~

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Why Tracking?

HOW do we do it?

SOLUTION –KALMAN FILTER

1-d 2-dWorking;PredictionCorrection

PICTURES

System View

Images

BG

Modeling

FG

Isolation

Median

Filtering

Object

“Blobbing”

Centroid

Detection

Motion Gradient

Estimation

Motion Rep.

Pictures

GRAPH

Is this practical?

Yes, and it has many uses. For example,

1. Traffic (Intersections, Highways)

2. Sports Events (many cameras)

3. Surveillance (fixed cameras)

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 .