A hierarchical neuro-fuzzy architecture for human behavior analysis
We propose a hierarchical architecture for human behavior analysis. Micro-behaviors are analyzed by a time-delay neural network. Macro-behaviors are analyzed by a fuzzy system. The experiments have been performed on the standard CAVIAR datasets.
behavior understanding trajectories analysis neuro-fuzzy modelling