1. Pearson Lanka (Pvt) Ltd.
Object Identification in Vision Systems for Expert Learning Platforms
Thisara Alawala
Associate Software Architect
Pearson Lanka (Pvt) Ltd.

2. Background Digital Imagery
The electronic snapshots taken from photo sensitive device such as Camera.

3. Background Identification of Objects in Digital Imagery
Human could understand the image using brain
A machine could understand the image using help of a Vision System.
A Vision System is able to process digital imagery and classify objects.
It uses advanced algorithms and technologies to process and classify images.

4. Background
History
From 50's researchers are discovering for possibilities of implementing Vision Systems.

5. Background Application of Vision Systems Robotics
Automated vehicle driving and traffic controlling
BIO imagery systems
Disaster management machines
Space missions
Earth excavation where the human cannot reach

6. Background Algorithms and Technologies Artificial Neural Networks
A technology which simulate neurone functionality of human brain
Pattern Recognition
Identify a pattern which compared with previous learning
Image processing algorithms
Algorithms which are capable of read through the image to output image content

7. Question
How to enhance accuracy in Object identification on Digital Imagery?

8. Objectives Object extraction Object Identification
Use Attributes and Feature extraction from imagery
Use image processing algorithms and technologies
Object Identification
Use algorithms and pattern recognition to identify the object using prior trained data
Use Artificial Neural Networks to classify each object

9. Training
Any system identify an object based on previously stored information including human brain
Related to Vision Systems training data has to be provided based on specific properties such as;
Pixel Quality / Clarity
Brightness / Contrast

10. Related Research SIFT (Scale Invariant Feature Transform)
An approach of extract key points and compute object descriptions
Shape based object recognition
Identify moving objects in digital images using extracted object silhouette
Attribute based object identification
Extract object attributes using RGB-D features

11. My Proposal
This proposal is to find the capabilities of identifying an object using a combination of
SIFT (ASIFT)
Shape based object recognition
Attribute based object identification
for better accuracy.

12. My Proposal

13. Application
One application is over vision systems enabled expert learning platforms.
This allowed students to learn through imagery where the image contents are being expressed by an expert system which integrates with Vision System.
To achieve this the above proposal needs to be extended further with an Expert System.