An adaptive people counting system with dynamic features selection and occlusion handling.

•A pair of collaborative Gaussian process models (GP) is used to handle occlusion.•A principled technique is proposed to measure the level of occlusion in a frame.•It proposes a method of choosing the best features depending on their environment.•The system is evaluated using two benchmark datasets, the Mall and UCSD datasets.