An object oriented approach for object recognition and classification
Scene analysis with processing of multiple frames is considered for automatic recognition and tracking of moving objects. The importance of taking into account information about the objects in the design of flexible systems is emphasized. This goal is reached through an object-oriented approach to problem-solving. It is shown that abstract data type and inheritance relationship definitions over real-world entities can be efficiently used for object classification purposes. This has been verified in a traffic monitoring application. An efficient algorithmic solution that satisfies the real-time constraints of the problem is proposed.<<ETX>>