Collaborating Partner – University of Sydney
Professor Ouyang is the best reviewer of ICCV, guest editor of IJCV, senior member of IEEE, and chairman of ICCV exhibition. Serving as a reviewer for TPAMI, IJCV, TOG, TIP, CVPR, ICCV, SIGGRAPH and other journals/conferences. As the first author, he has published 7 articles in TPAMI and IJCV, and published more than 60 articles in the first-class international conferences in the field of computer vision CVPR, ICCV and NIPS. His team participated in the ImageNet competition and won second place in image object detection in 2014, first in video object detection in 2015, first in image/video object detection in 2016, and first in object detection in 2018 COCO competition.
The deliverable system is composed of the following components:
- 1) Drones, which are used to flying over the identified koala habitat.
- 2) RGB+Infrared cameras on each drone to capture koala images.
- 3) An AI computing device mounted on each drone.
- 4) An AI algorithm used to locate and count koalas. The AI algorithm takes the visual data from cameras as input and uses computing devices for computation. The located and counted Koala data are transmitted in real time.
Our research team led by Dr Ouyang has led the CUImage team
winning the ImageNet Large Scale Visual Recognition Challenge
on object detection for localising 200 object categories,
including koala, elephant, zebra, and other animals.
This project will develop the first intelligent classroom scene understanding system, utilizing multi-view videos captured by privacy-preserving cameras.