Scott Spurlock

Assistant Professor, Computing Sciences, Elon University

Research Projects

Multi-Camera Action Recognition

Dynamic selection of the best view(s) for recognition can improve accuracy and reduce computational overhead.
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Multi-Camera, Multi-Person Detection

Detection By selectively verifying likely person locations with high-level detectors accuracy is improved with minimal impact on speed.
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Multi-Camera Tracking

Tracking By using single-camera trackers in a dynamic subset of the available views, we keep speed high for multi-camera tracking.
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Gamesourcing We created a gamesourcing framework that can run side-by-side with any Microsoft Kinect-based PC game to collect annoted pose estimation data.
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Biomechanical Visualization

Embedding We created a framework combining interactive visual analysis with automated techniques for investigating 3D biomechanical motion data.
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