A unified approach to the recognition of complex actions from sequences of zone-crossings ?
We present a method for the recognition of complex actions in a unified way. We encode simple action HMMs within the stochastic grammar that models complex actions. As input our method receives a sequence of crossings of tracks through a set of zones. We evaluate our method in a threat recognition setting.
complex actions threat recognition temporal relations multi-threaded parsing stochastic parsing