Predator, a software that learns from its mistakes - Zdenek Kalal

PREDATOR

Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk

venerdì 29 luglio 2011

Enable machines to “see”















Object tracking

Autonomous robot navigation Surveillance

Games

Human-Computer Interfaces

Augmented Reality Motion Capture


Predator venerdì 29 luglio 2011



Control theory


Ball and beam


Ball and beam


Ball and beam


Ball and plate


Ball and plate


Ball and plate


Feedback

1. Define the goal2. Measure error3. React on the error

Norbert WienerCybernetics1948


Realization of feedback



Goal



Goal

Detection



Error

Goal

Detection


Face detection


Scanning window


Scanning window


Scanning window


Scanning window


Scanning window


Scanning window


Scanning window


Scanning window


Scanning window

Requires a face modelvenerdì 29 luglio 2011

Object model

several parameter millions of parameters


Offline learningTrainingexamples

[+] [-]


Offline learning

Model

Trainingexamples

[+] [-]




Offline learning• Millions of examples

Online learning• Single example

•Increasing interactivity






Change of philosophy

Errors are bad• Try to avoid errors

Errors will happen• Learn from errors as


Define the goal


Define the goal


Measure errors


Remember the errors


Formalization• Discrete dynamical system


Stability


Tracking

Learning

Detection












Responses

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Open source

• GPL licence v3.0• Currently over 1000

members


Open source

• GPL licence v3.0• Currently over 1000

members




Thank you!


Technology

Predator, a software that learns from its mistakes - Zdenek Kalal