1. the development of novel data fusion mechanisms to improve tracking;
2. the development of mixed-state models (which combine continuous
motion parameters and
discrete labels in a joint distribution) for tracking and recognition;
3. the development of new sampling methods for improving tracking efficiency and performance;
4. data collection and development of performance evaluation procedures.
This work is funded funded by the Swiss National Center of Competence
in Research (NCCR) on
Interactive Multimodal Information Management (IM)2.
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