Current undergraduate students

Professor Mohamed Kamel has been selected as the 2015 recipient of the IEEE Canada A.G.L. McNaughton Gold Medal for Outstanding Contributions to Pattern Recognition and Intelligent Systems. Established in 1969, the McNaughton Gold Medal is IEEE Canada's highest honour and is awarded to outstanding Canadian engineers recognized for their exemplary contributions to the engineering profession.

Tuesday, February 2, 2016

Call for papers: ICIAR 2016

Call for papers: International Conference on Image Analysis and Recognition (ICIAR 2016), July 13-15, 2016 – Póvoa de Varzim, Portugal. ICIAR 2016 is dedicated to the memory of the late Prof. Mohamed Kamel, CPAMI foundering Director and founding chair of the conference. Deadline: March 7, 2016.

Wednesday, November 11, 2015 1:00 pm - 2:30 pm EST (GMT -05:00)

IEEE & CPAMI Seminar - Dr. Babak Taati

Topic

Computer Vision Systems in Health and Safety Monitoring

Abstract

Computer vision systems can play a role in providing care to individuals living with physical or cognitive disability. In this talk, I will first briefly review vision-based systems to provide assistance to older adults with dementia and to assist with usability studies for this population. I will then present preliminary results on assessing the cognitive status of older adults by way of monitoring common activities of daily living.

Thursday, May 7, 2015 4:30 pm - 5:00 pm EDT (GMT -04:00)

CPAMI Seminar - Dr. Allaa Hilal

Topic

Using Wireless Sensor Networks to Enable Internet of Things

Abstract

The last few decades have witnessed major evolution in communication networks that impacted the mere essence of human life. Continents that are oceans apart, became just a phone call away and globalization emerged deriving knowledge sharing and culture integration.

Thursday, May 7, 2015 4:00 pm - 4:30 pm EDT (GMT -04:00)

CPAMI Seminar - Dr. Frank (Shu-Hong) Yang

Topic

Fast Threshold Selection Algorithm of Infrared Human Images

Abstract

Infrared images are by nature fuzzy and noisy, thus the segmentation of human targets from them is a challenging task. In this work, fuzzy Tsallis entropy of background and target are defined respectively according to probability division principle. Next, a newly defined entropy is extended into two dimensions to make full use of spatial information.