Real-time visual behaviors with a binocular active vision system
We describe the real-time implementation of several visual behaviors in an active vision system. Issues related to the real-time implementation are discussed, concerning the modeling of the measurements made in the image. We also describe a methodology for calibrating the camera head, taking advantage of its degrees of freedom. These calibration parameters are used to evaluate the performance of the system. Another important issue of the operation of active vision binocular heads is their integration into more complex robotic systems. We claim that higher levels of autonomy and integration can be obtained by designing the system architecture based on the concept of purposive behavior. We show how this architecture can be used to implement a pursuit behavior using optical flow. Simultaneously vergence control can also be performed using the same visual processes.