We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Performance quantification of biometric systems, such as face tracking and recognition highly depend on the database used for testing the systems. Systems trained and tested on r...
Behaviour recognition in a video scene consists of several distinct sub-tasks: objects or object parts must be recognised, classified and tracked, qualitative spatial and temporal...
This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...