DESEO: An Active Vision System for Detection, Tracking and Recognition

In this paper a basic conceptual architecture aimed at the design of Computer Vision System is qualitatively described The pro posed architecture addresses the design of vision systems in a modular fashion using modules with three distinct units or components a process ing network or diagnostics unit a control unit and a communications unit The control of the system at the modules level is designed based on a Discrete Events Model This basic methodology has been used to design a real time active vision system for detection tracking and recognition of people It is made up of three functional modules aimed at the detection tracking recognition of moving individuals plus a supervision module The detection module is devoted to the detection of moving targets us ing optic ow computation and relevant areas extraction The tracking module uses an adaptive correlation technique to xate on moving ob jects The objective of this module is to pursuit the object centering it into a relocatable focus of attention window FOAW to obtain a good view of the object in order to recognize it Several focus of attention can be tracked simultaneously The recognition module is designed in an op portunistic style in order to identify the object whenever it is possible A demonstration system has been developed to detect track and identify