Patent ID: 8179440

Claim:
A method for objects surveillance and real-time activity recognition, comprising the steps of: combining a plurality of image sensing units and a computer processor into an activity monitoring network, acquiring spatia-temporal images of a plurality of the objects from said plurality of image sensing units, for each of a plurality of objects, forming a spatio-temporal volume occupied by said each object, decomposing said spatia-temporal volume by crossing the same at a plurality of heights z, thereby forming a plurality of 2-Dimentional slices S z , each said 2-dimensional slice S z containing a representation of a pair of trajectories of the motion of right and left corresponding portions of said each object's body, separating said representation of said pair of trajectories in said each 2-dimensional slice S z into a right and a left rectified trajectories, analyzing a symmetry of said right and left rectified trajectories in said each 2-dimensional slice S z to detect a symmetry distortion; classifying said detected symmetry distortion; and generating data indicative of a type of activity of said each object causing said detected symmetry distortion.