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SS-L25: Anomaly Detection and Intent Inference in Object Tracking

Session Type: Lecture
Time: Friday, May 17, 16:00 - 18:00
Location: Syndicate 2
Session Chair: Bashar Ahmad, University of Cambridge
 
  SS-L25.1: A BAYESIAN FRAMEWORK FOR INTENT PREDICTION IN OBJECT TRACKING
         Bashar I. Ahmad; University of Cambridge
         Patrick M. Langdon; University of Cambridge
         Simon J. Godsill; University of Cambridge
 
  SS-L25.2: PRIVACY-PRESERVING ONLINE HUMAN BEHAVIOUR ANOMALY DETECTION BASED ON BODY MOVEMENTS AND OBJECTS POSITIONS
         Federico Angelini; Newcastle University
         Jiawei Yan; Newcastle University
         Syed Mohsen Naqvi; Newcastle University
 
  SS-L25.3: ANOMALY DETECTION AND TRACKING BASED ON MEAN-REVERTING PROCESSES WITH UNKNOWN PARAMETERS
         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
 
  SS-L25.4: DISTRIBUTED QUICKEST DETECTION OF SIGNIFICANT EVENTS IN NETWORKS
         Shaofeng Zou; University at Buffalo
         Venugopal V. Veeravalli; University of Illinois at Urbana-Champaign
         Jian Li; University of Massachusetts Amherst
         Don Towsley; University of Massachusetts Amherst
         Ananthram Swami; U.S. Army Research Laboratory
 
  SS-L25.5: DATA DRIVEN VESSEL TRAJECTORY FORECASTING USING STOCHASTIC GENERATIVE MODELS
         Murat Uney; Centre for Maritime Research and Experimentation
         Leonardo M. Millefiori; Centre for Maritime Research and Experimentation
         Paolo Braca; Centre for Maritime Research and Experimentation
 
  SS-L25.6: SPOOFING ATTACK DETECTION BY ANOMALY DETECTION
         Soroush Fatemifar; University of Surrey
         Shervin Rahimzadeh Arashloo; Bilkent University
         Muhammad Awais; University of Surrey
         Josef Kittler; University of Surrey