Object Tracking using Particle Filter Nandini Easwar Jogen Shah CIS 601, Fall 2003.
Using particle filter for face tracking
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Particle filters Maria Mikhisor
description
Friday seminar on my department.
Transcript of Using particle filter for face tracking
Particle filtersMaria Mikhisor
3D without glasses
Autosterescopicdisplay
Eye tracking
3D without glasses
Eye trackingTo simplify my task, I started from head tracking
My task is to track faces on different distances
There are many different algorithms for tracking…For various reasons I chose Particle Filters
Not this kind of particles…
A particle is a hypothesis, one possible state of a system
Prior distributionFrame 1
Prior distributionFrame 2
Prior distributionFrame 2
ObservationFrame 2
Averaging posterior
Frame 2
ResamplingFrame 2
Prior distributionFrame 3
MoveFrame 3
ResampleFrame 3
5 distances1m – 3m
3 videos foreach distance
3 experiments for each video
My experiments
Getting ground truth data:
1 video 1 min long labeling manually 1800 frames
Motion model
position 1st order
velocity
acceleration
2nd order3d order
Motion model
Observation models
Color histogram
Active shape model
Histogram of oriented edges
Haar wavelets
Combining feature detectors
Cascades
Linear combinations
Color histogram + Haar wavelets
Color histogram + Active contour
Simple histogram VS compound histogram
Ellipse parameterization
Number of particles
Plans for near future…
Cylindrical projection
Multi-cameras tracking
One 3D Particle FilterTwo 2D Particle Filtersthat communicate or
Use Kinect for collecting ground truth data
