Internship Student - 2021
Zishan (Taylor) is currently an undergraduate student in Advanced Computing (Hons) at the Australian National University. She is interested in the field of artificial intelligence, especially Computer Vision and Natural Language Processing. In addition, she is also a competitive programmer, young dancer and musical instrument enthusiast.
Machine Learning-based Approach to Estimate Occupancy from Thermal Image Data
Occupancy estimation is important for smart building applications such as controlling heating, ventilation, lighting, air conditioning systems and determining occupants’ behaviors. This project aims to detect and estimate (i.e., count) occupancy in a room from thermal imaging data using state-of-the-art machine learning algorithms.
- Occupancy Estimation from Thermal Images. Zishan Qin, Dipankar Chaki, Abdallah Lakhdari, Amani Abusafia, and Athman Bouguettaya. ICSOC 2021, Virtual, Demo paper.