DICTA 2014 Program
[View as PDF]
Tuesday, 25 November 2014
| 8:15 am – 9:00 am | Registration |
| 9:00 am – 9:15 am | Conference Opening |
| 9:15 am – 10:15 am | Keynote Address – Professor Josef Kittler, University of Surrey, UK Development and Applications of 3D Morphable Face Model |
| 10:15 am – 10:45 am | Morning Tea/Coffee Break |
| 10:45 am – 12:25 pm | Oral Session 1-AM: Scene Structure and Image Understanding |
| 12:25 pm – 2:00 pm | Lunch Break |
| 2:00 pm – 3:40 pm | Oral Session 1-PM: Medical Image Analysis and Retrieval |
| 3:40 pm – 4:00 pm | Afternoon Tea/Coffee Break |
| 4:00 pm – 5:00 pm | Keynote Address – Professor Hong Yan, City University of Hong Kong, Hong Kong Pattern Recognition Methods for Genomic and Biomolecular Data Analysis |
| 5:00 pm – 6:00 pm | APRS AGM Meeting |
| 5:30 pm – 7:00 pm | Welcome Reception |
Wednesday, 26 November 2014
| 8:45 am – 9:00 am | Registration |
| 9:00 am – 10:40 pm | Oral Session 2-AM: Image and Video Coding/Watermarking |
| 10:40 am – 11:00 am | Morning Tea/Coffee Break |
| 11:00 am – 12:00 pm | Keynote Address – Professor Juergen Gall, University of Bonn, Germany Human Pose: A Cue for Activities and Objects |
| 12:00 pm – 1:30 pm | Lunch Break |
| 1:30 pm – 3:10 pm | Oral Session 2-PM: Image Matching, Registration and Fusion |
| 3:10 pm – 3:30 pm | Afternoon Tea/Coffee Break |
| 3:30 pm – 5:00 pm | Poster Session 1: Sparse Representation, Learning and Classification |
| Evening | Conference Banquet |
Thursday, 27 November 2014
| 8:45 am – 9:00 am | Registration |
| 9:00 am – 10:40 pm | Oral Session 3-AM: Aerial and Hyperspectral Imagery |
| 10:40 am – 11:00 am | Morning Tea/Coffee Break |
| 11:00 am – 12:30 pm | Poster Session 2: Detection, Recognition and Tracking |
| 12:30 pm – 2:00 pm | Lunch Break |
| 2:00 pm – 3:40 pm | Oral Session 3-PM: Action and Crowd Behaviour Recognition |
| 3:40 pm – 4:00 pm | Afternoon Tea/Coffee Break |
| 4:00 pm – 5:00 pm | Keynote Address – Professor Xilin Chen, Chinese Academy of Sciences, China Face Recognition from Video: Challenges and Opportunities |
| 5:00 pm – 5:15 pm | Conference Closing |
Detailed Program
Tuesday, 25 November 2014
| Oral Session 1-AM: Scene Structure and Image Understanding Date: November 25, 2014 Time: 10:45 am – 12:25 pm Location: McCabe/Throsby Room | |
| 10:45 | Low Rank or Nuclear-norm Minimization: Are We Solving the Right Problem? Yuchao Dai and Hongdong Li Australian National university, Australia |
| 11:05 | Data-Driven Street Scene Layout Estimation for Distant Object Detection Donghao Zhang – Australian National University, Australia Xuming He – NICTA, Australia |
| 11:25 | Establishing Correspondences Between Planar Image Patches Attila Tanacs, Andras Majdik, Jozsef Molnar, Atul Rai, and Zoltan Kato University of Szeged, Hungary |
| 11:45 | Pedestrian Lane Detection in Unstructured Environments for Assistive Navigation Manh-Cuong Le, Son-Lam Phung, and Salim Bouzerdoum University of Wollongong, Australia |
| 12:05 | Near-Miss Event Detection at Railway Level Crossings Sina Aminmansour, Frederic Maire, and Christian Wullems Queensland University of Technology, Australia |
| Oral Session 1-PM: Medical Image Analysis and Retrieval Date: November 25, 2014 Time: 2:00 pm – 3:40 pm Location: McCabe/Throsby Room | |
| 2:00 | Latent Semantic Association for Medical Image Retrieval Fan Zhang, Song Yang, and Liu Sidong – University of Sydney, Australia Pujol Sonia and Kikinis Ron – Harvard Medical School, USA David Dagan Feng and Weidong Cai – University of Sydney, Australia |
| 2:20 | Effect of Smoothing on Sparsity Prior CT Reconstruction Sajib Saha and Murat Tahtali UNSW (ADFA), Canberra, Australia |
| 2:40 | Multiple Instance Learning for Breast Cancer MRI Fahira Maken, Andrew Bradley, Yaniv Gal, and Darryl Mcclymont The University of Queensland, Australia |
| 3:00 | Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering Yan Zhao, Zhimin Gao, Lei Wang, and Luping Zhou University of Wollongong, Australia |
| 3:20 | A Semi-Quantitative Analysis Model with Parabolic Modelling for DCE-MRI Sequences of Prostate Gihan Samarasinghe and Arcot Sowmya – University of New South Wales, Australia Daniel Moses – Prince of Wales Hospital, Sydney, Australia |
Wednesday, 26 November 2014
| Oral Session 2-AM: Image an d Video Coding/Watermarking Date: November 26, 2014 Time: 9:00 am – 10:40 pm Location: McCabe/Throsby Room | |
| 9:00 | Fast Intermode Selection for HEVC Video Coding Using Phase Correlation Pallab Podder, Manoranjan Paul, Subrata Chakraborty – Charles Sturt University Manzur Murshed – Federation University Australia, Australia |
| 9:20 | A Blind and Robust Video Watermarking Scheme Using Chrominance Embedding Md. Asikuzzaman, Md. Jahangir Alam, Andrew J. Lamber, and Mark Pickering University of New South Wales, Australia |
| 9:40 | Quantization Based Watermarking Approach with Gain Attack Recovery Yevhen Zolotavkin and Martti Juhola University of Tampere, Finland |
| 10:00 | Novel Evaluation Index for Image Quality Sheikh Md. Rabiul Islam, Xu Huang, and Kim Le University of Canberra, Australia |
| 10:20 | Efficient Coding of Depth Map by Exploiting Temporal Correlation Shampa Shahriyar – Monash University, Australia Manzur Murshed and Mortuza Ali – Federation University Australia, Australia Manoranjan Paul – Charles Sturt University, Australia |
| Oral Session 2-PM: Image Matching, Registration and Fusion Date: November 26, 2014 Time: 1:30 pm – 3:10 pm Location: McCabe/Throsby Room | |
| 1:30 | Multi-focus Image Fusion via Boundary Finding and Multi-scale Morphological Focus-measure Yu Zhang, Xiangzhi Bai, and Tao Wang Beihang University, China |
| 1:50 | Affinity Pansharpening and Image Fusion Stephen Tierney and Junbin Gao – Charles Sturt University, Australia Yi Guo – CSIRO, Australia |
| 2:10 | A Novel Multi-modal Image Registration Method Based on Corners Guohua Lv – Monash University, Australia Shyh Wei Teng and Guojun Lu – Federation University Australia, Australia |
| 2:30 | Partial Fingerprint Matching through Region-based Similarity Omid Zanganeh, Bala Srinivasan, and Nandita Bhattacharjee Monash University, Australia |
| 2:50 | A Novel Landmark Detector System for Multi Resolution Frontal Faces Antoni Liang, Chenyu Wang, Wanquan Liu, and Ling Li Curtin University, Australia |
| Poster Session 1: Sparse Representation, Learning and Classification Date: November 26, 2014 Time: 3:30 pm – 5:00 pm Location: Ballroom Gallery | |
| 3:30 | Image Segmentation Based on Spatially Coherent Gaussian Mixture Model Guangpu Shao – Huazhong University of ScienceTechnology, China Junbin Gao – Charles Sturt University, Australia Tianjiang Wang, Fang Liu, Yucheng Shu, and Yong Yang – Huazhong University of Science and Technology, China |
| 3:30 | A High-precision Registration Method Based on Auxiliary Sphere Targets Junhui Huang, Zhao Wang, Jianmin Gao, and Weihua Bao Xi'an Jiaotong University, China |
| 3:30 | An Evaluation of Sparseness as a Criterion for Selecting Independent Component Filters, When Applied to Texture Retrieval Nabeel Mohammed – University of Asia Pacific, Bangladesh David Squire – Monash University, Australia |
| 3:30 | Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences Di Yang – The Australian National University, Australia Srimal Jayawardena – CSIRO, Brisbane, Australia Stephen Gould and Marcus Hutter – The Australian National University, Australia |
| 3:30 | A Biologically Inspired Facilitation Mechanism Enhances the Detection and Pursuit of Targets of Varying Contrast Zahra M. Bagheri, Steven D. Wiederman, Benjamin S. Cazzolato, and Steven Grainger – University of Adelaide, Australia David C. O'Carroll – Lund University, Sweden |
| 3:30 | Multiple Features Based Low-contrast Infrared Ship Image Segmentation Using Fuzzy Inference System Tao Wang, Xiangzhi Bai, and Yu Zhang Beihang University, China |
| 3:30 | Adaptive Random Testing for Image Comparison in Regression Web Testing Elmin Selay and Zhi Quan Zhou – University of Wollongong, Australia Jingjie Zou – China University of Petroleum, China |
| 3:30 | A Non-Rigid 3D Multi-modal Registration Algorithm Using Partial Volume Interpolation and the Sum of Conditional Variance Mst Nargis Aktar, Md Jahangir Alam, and Mark Pickering University of New South Wales, Canberra, Australia |
| 3:30 | A Multiple Features Distance Preserving (MFDP) Model for Saliency Detection Dongyan Guo – Nanjing University of Science Technology, China Jian Zhang, Min Xu, and Xiangjian He – University of Technology Sydney, Australia Minxian Li and Chunxia Zhao – Nanjing University of Science and Technology, China |
| 3:30 | Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field Behzad Bozorgtabar and Roland Goecke University of Canberra, Australia |
| 3:30 | Image Segmentation Using Dictionary Learning and Compressed Random Features Geoff Bull, Junbin Gao, and Michael Antolovich Charles Sturt University, Australia |
| 3:30 | Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images Abass Olaode, Golshah Naghdy, and Catherine Todd University of Wollongong, Australia |
Thursday, 27 November 2014
| Oral Session 3-AM: Aerial and Hyperspectral Imagery Date: November 27, 2014 Time: 9:00 am – 10:40 pm Location: McCabe/Throsby Room | |
| 9:00 | Dual Graph Regularized NMF for Hyperspectral Unmixing Lei Tong and Jun Zhou – Griffith University, Australia Xiao Bai – Beihang University, China Yongsheng Gao – Griffith University, Australia |
| 9:20 | A Convolutional Neural Network for Automatic Analysis of Aerial Imagery Frederic Maire and Luis Mejias – Queensland University of Technology, Australia Amanda Hodgson – Murdoch University, Australia |
| 9:40 | Automatic Building Footprint Extraction and Regularisation from LIDAR Point Cloud Data Mohammad Awrangjeb and Guojun Lu Federation University Australia, Australia |
| 10:00 | Automatic UAV Forced Landing Site Detection Using Machine Learning Xufeng Guo, Simon Denman, Clinton Fookes, Luis Mejias, and Sridha Sridharan Queensland University of Technology, Australia |
| 10:20 | Infrared Ship Target Image Smoothing Based on Adaptive Mean Shift Zhaoying Liu – Beihang University, China; CSIRO, Australia Changming Sun – CSIRO, Australia Xiangzhi Bai and Fugen Zhou – Beihang University, China |
| Poster Session 2: Detection, Recognition and Tracking Date: November 27, 2014 Time: 11:00 am – 12:30 pm Location: Ballroom Gallery | |
| 11:00 | The W-Penalty and Its Application to Alpha Matting with Sparse Labels Stephen Tierney and Junbin Gao – Charles Sturt University, Australia Yi Guo – CSIRO, Australia |
| 11:00 | Fusion of Multiple Sensor Data to Recognise Moving Objects in Wide Area Motion Imagery Shannon Fehlmann, Carmine Pontecorvo, David M Booth, Pranam Janney, Robert Christie, Nicholas J Redding, Michael Royce, and Merrilyn Fiebig DSTO, Australia |
| 11:00 | Regularized Least-squares Coding with Unlabeled Dictionary for Image-set Based Face Recognition Muhammad Uzair, Arif Mahmood, and Ajmal Mian The University of Western Australia, Australia |
| 11:00 | Detection of Anomalous Crowd Behaviour Using Hyperspherical Clustering Aravinda Rao, Jayavardhana Gubbi, Sutharshan Rajasegarar, Slaven Marusic and Marimuthu Palaniswami The University of Melbourne, Australia |
| 11:00 | 3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras Jozsef Molnar and Robert Frohlich – University of Szeged, Hungary Dmitry Chetverikov – MTA SZTAKI, Hungary Zoltan Kato – University of Szeged, Hungary |
| 11:00 | Performance Evaluation of 3D Local Surface Descriptors for Low and High Resolution Range Image Registration Syed Afaq Ali Shah, Mohammed Bennamoun, and Farid Boussaid The University of Western Australia, Australia |
| 11:00 | A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints Jinglan Tian, Ling Li, and Wanquan Liu Curtin University, Australia |
| 11:00 | Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation Pichao Wang, Wanqing Li, Philip Ogunbona and Zhimin Gao – University of Wollongong, Australia Hanling Zhang – Hunan University, China |
| 11:00 | A Modular Learning Approach for Fish Counting and Measurement Using Stereo Baited Remote Underwater Video Fredrik Westling – University of New South Wales, Australia Changming Sun and Dadong Wang – CSIRO, Australia |
| 11:00 | Supervised Latent Dirichlet Allocation models for Efficient Activity Representation Umakanthan Sabanadesan, Simon Denman, Clinton Fookes and Sridha Sridharan Queensland University of Technology, Australia |
| 11:00 | Robust Visual Tracking via Rank-Constrained Sparse Learning Behzad Bozorgtabar and Roland Goecke University of Canberra, Australia |
| Oral Session 3-PM: Action and Crowd Behaviour Recognition Date: November 27, 2014 Time: 2:00 pm – 3:40 pm Location: McCabe/Throsby Room | |
| 2:00 | The Influence of Temporal Information on Human Action Recognition with Large Number of Classes Ramana Oruganti and Roland Goecke University of Canberra, Australia |
| 2:20 | Discriminative Key Pose Extraction Using Extended LC-KSVD for Action Recognition Lijuan Zhou, Wanqing Li, Yuyao Zhang, Philip Ogunbona, and Duc Thanh Nguyen – University of Wollongong, Australia Hanling Zhang – Hunan University, China |
| 2:40 | Crowd Behaviour Recognition Using Dense Trajectories Muhammad Rizwan Khokher, Abdesselam Bouzerdoum, and Son Lam Phung University of Wollongong, Australia |
| 3:00 | Probabilistic Detection of Crowd Events on Riemannian Manifolds Aravinda Rao, Jayavardhana Gubbi, Slaven Marusic, and Marimuthu Palaniswami The University of Melbourne, Australia |
| 3:20 | Efficient People Counting with Limited Manual Interferences Jingsong Xu – Nanjing University of Science and Technology, China Qiang Wu and Jian Zhang – University of Technology, Sydney, Australia Boreak Silk – City of Melbourne, Australia Gia Thuan Ngo – University of Technology, Sydney, Australia Zhenmin Tang – Nanjing University of Science and Technology, China |