SS-L18: Anomaly Detection and Intent Inference in Object Tracking |
| Session Type: Lecture |
| Time: Thursday, 7 May, 11:30 - 13:30 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chair: Peter Willett, University of Connecticut |
| SS-L18.1: INFERRING DYNAMIC GROUP LEADERSHIP USING SEQUENTIAL BAYESIAN METHODS |
| Qing Li; University of Cambridge |
| Simon Godsill; University of Cambridge |
| Jiaming Liang; University of Cambridge |
| Bashar Ahmad; University of Cambridge |
| SS-L18.2: SCALABLE DETECTION AND TRACKING OF EXTENDED OBJECTS |
| Florian Meyer; University of California, San Diego |
| Jason L. Williams; Commonwealth Scientific and Industrial Research Organisation |
| SS-L18.3: ADVERSARIAL ANOMALY DETECTION FOR MARKED SPATIO-TEMPORAL STREAMING DATA |
| Shixiang Zhu; Georgia Institute of Technology |
| Henry Shaowu Yuchi; Georgia Institute of Technology |
| Yao Xie; Georgia Institute of Technology |
| SS-L18.4: QUICKEST DETECTION OF GROWING DYNAMIC ANOMALIES IN NETWORKS |
| Georgios Rovatsos; University of Illinois at Urbana-Champaign |
| Venugopal Veeravalli; University of Illinois at Urbana-Champaign |
| Don Towsley; University of Massachusetts, Amherst |
| Ananthram Swami; Army Research Lab |
| SS-L18.5: IMAGE SEGMENTATION BASED PRIVACY-PRESERVING HUMAN ACTION RECOGNITION FOR ANOMALY DETECTION |
| Jiawei Yan; Newcastle University |
| Federico Angelini; Newcastle University |
| Syed Mohsen Naqvi; Newcastle University |
| SS-L18.6: PREDICTION OF VESSEL TRAJECTORIES FROM AIS DATA VIA SEQUENCE-TO-SEQUENCE RECURRENT NEURAL NETWORKS |
| Nicola Forti; NATO STO Centre for Maritime Research and Experimentation |
| Leonardo M. Millefiori; NATO STO Centre for Maritime Research and Experimentation |
| Paolo Braca; NATO STO Centre for Maritime Research and Experimentation |
| Peter Willett; University of Connecticut |