ABSTRACT
Local mechanisms for the extraction of motion from visual information have gained wide acceptance as schemes that biological systems use to accomplish this task. Although feature identification may play a role in extracting motion from visual information, it is generally not necessary. This chapter explores the use of Volterra functionals in modeling and implementing local motion detection mechanisms (LMDMs). It discusses the operational principles of LMDMs, which serve as the foundation for the employment of functional series as a tool for analysis and design of such mechanisms. The chapter summarizes the background of the particular functional series. It develops a theoretical approach to functional representation for motion detection and speed estimation schemes. The chapter discusses the functional analysis of well-known movement detectors. It explores several aspects of analysis and design of velocity estimation mechanisms. The chapter evaluates kernels of widely known motion detectors.
