Engineering Research Seminar Series 41, 2011: Vector Quantization Based Algorithm for Robust Biological Cell Tracking

Mr Khoo Boon How, School of Engineering, Monash University Sunway Campus

Date: 2011-11-11
Time: 09:00 to 10:00
Venue: Tutorial Room 6-4-01


This presentation outlines a modified Vector Quantization (VQ) algorithm for robust biological cell tracking. The proposed algorithm uses the data compression capability of the VQ algorithm to perform automatic features extraction. The training image is compressed into multiple code vectors using the VQ algorithm. The proposed system offer a percentage based quantization result selection which will be easy to select the useful data. The area-based noise filtering is implemented in the system to reduce the noise. The modified VQ algorithm is implemented in a cell tracking system that consists of training session and tracking session. The training session will train the system to learn which cells of interests. The tracking session tracks the cell(s) from the first frame to the last frame. Two types of biological cells are used, namely neural cell and micro-organism in pond. Both image data sets are available in the form of video clips.

About the Speaker

Mr Khoo Boon How completed his Bachelor of Engineering (Mechatronics) in Monash in 2005. In 2008, he obtained the degree of Master of Engineering Science (Research) from Monash. He has taught undergraduate MATLAB courses since 2006 to present. He is a lecturer in Monash University Sunway Campus since 2008.He have supervised various final year research projects that uses MATLAB in the field of artificial intelligence, image processing and motion analysis. He is also a member of IEEE Robotics and Automation Society. His research interest focuses on motion tracking, image processing and artificial intelligence.