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Stable Multi-Target Tracking in Real-Time Surveillance Video

This video demonstrates the MCMCDA based head tracking system, which runs at 25fps on 1920x1080 video using a standard desktop computer. The system is capable of obtaining stable head images and is robust to temporary occlusions.

Unsupervised Learning of a Scene-Specific Coarse Gaze Estimator

Examples showing results of the unsupervised coarse gaze estimation. The gaze direction estimates are the result of fully unsupervised learning - the system was not provided with any example images to link gaze directions with image appearances. The gaze directions were learned by simultaneously optimising both dynamic and appearance models using a Conditional Random Field (CRF) in combination with a forest of randomised decision trees.