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

Background Digital Imagery The electronic snapshots taken from photo sensitive device such as Camera. http://www.casinojournal.com/

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.

Background History From 50's researchers are discovering for possibilities of implementing Vision Systems. http://www.andreykurenkov.com

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

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

Question How to enhance accuracy in Object identification on Digital Imagery? www.autos.ca

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

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

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

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.

My Proposal

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.