Disclosed is a moving object recognizing system, resistant to noise, which precisely obtains velocities, positions and configurations of an object moving in three-dimensional space, the system being characterized by employing a bidirectional neural network including velocity neurons, coupled by twos and disposed, for respectively obtaining x-and-y components of an optical flow at respective points of the moving object and also line processes, interposed between the velocity neurons, for taking analog values for detecting edges of the moving object.
Method and apparatus for recognition of a moving object.