Univ logo Autonomous Scalable Methods for Inference in Big Data and Multiple Target Tracking Allan De Freitas Supervisor: Dr. Lyudmila Mihaylova University of Sheffield University of Sheffield UKACC PhD Presentation Showcase

Univ logo UKACC PhD Presentation Showcase Slide 2 / 6 Introduction  Characteristics of Large Scale Complex Systems  Big Data – Large number of states and/or measurements  Need for Autonomy  Large Scale Complex Systems  Freeway Traffic Monitoring  Coastal Surveillance  Air Traffic Control  Crowd Monitoring

Univ logo UKACC PhD Presentation Showcase Slide 3 / 6 Crowd Tracking  Characteristics  Large number of entities  Clutter  Patterns of motion  Large Group Techniques  Bayesian probabilistic techniques  Difficulties in the Literature  Modelling of interactions between entities  Data association  Dynamic shape changes

Univ logo UKACC PhD Presentation Showcase Slide 4 / 6 Recursive Bayesian Estimation  State Space Modelling  Posterior Distribution:  Optimal Bayesian Solution  Prediction :  Update:

Univ logo UKACC PhD Presentation Showcase Slide 5 / 6 Results with a Realistic Crowd Scenario

Univ logo UKACC PhD Presentation Showcase Slide 6 / 6 Future Work  Further extend the current tracking framework  Individual target tracking  We Acknowledge the support from the EC Seventh Framework Programme [FP ] TRAcking in compleX sensor systems (TRAX) Grant agreement no.: