Title: A-CCNN: ADAPTIVE CCNN FOR DENSITY ESTIMATION AND CROWD COUNTING
Abstract: Crowd counting, for estimating the number of people in a crowd using vision based computer techniques, has attracted much interest in research community. Although many attempts have been reported, real world problems, such as huge variation in subjects’ sizes in images and serious occlusion among people, make it still a challenging problem. In this paper, we propose an Adaptive Counting Convolutional Neural Network (A-CCNN) and consider the scale variation of objects in a frame adaptively so as to improve the accuracy of counting. Our method takes advantages of contextual information to provide more accurate and adaptive density maps and crowd counting in a scene. Extensively experimental evaluation is conducted using different benchmark datasets for object-counting, and shows that the proposed approach is effective and outperforms state-of-the-art approaches.
Professor Sean He, as a Chief Investigator, has received various research grants including four national Research Grants awarded by Australian Research Council (ARC). As a Chief Investigator, he has very recently received near one million dollars cash and over 2 million dollars equipment donation from industry partners including Cisco, Sydney Trains, and Rail Manufacturing Cooperative Research Centre (RMCRC). He is the Director of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC). He is also the Director of UTS-NPU International Joint Laboratory on Digital Media and Intelligent Networks. He has been an IEEE Signal Processing Society Student Committee member. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE CIT, IEEE AVSS, IEEE TrustCom, IEEE ICPR and IEEE ICARCV. In recent years, he has many high quality publications in IEEE Transactions journals and Elsevier’s journals He has also had papers published in premier international conferences and workshops such as ACL, IJCAI, CVPR, ECCV, ACM MM etc.. He has recently been a guest editor for various international journals and is currently an Advisor of HKIE Transactions. Prof He received a 2018 Chancellor’s Award for Research Excellence.