Discriminative analysis for multi-target and multi-camera analysis
Appearance models are based on covariance descriptor extracted from tracklets given by a short-term tracking algorithm. Short-term tracking relies on object descriptors tuned by a controller which copes with context variation over time. We link tracklets by using discriminative analysis on a Riemannian manifold.
For details see paper: Multi-target tracking by discriminative analysis on Riemannian manifold, ICIP 2012