This survey presents an overview of the autonomous development of mental capabilities in
computational agents. It does so based on a characterization of cognitive systems as …

This paper presents a new approach for object categorization involving the following
aspects of cognitive vision: learning, recognition and knowledge representation. A major …

A representational gap exists between low-level measurements (segmentation, object
classification, tracking) and high-level understanding of video sequences. In this paper, we …

In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-
events, and propose a novel approach for learning, detecting and representing events in …

This paper considers arguments for the necessity of embodiment in cognitive vision systems.
We begin by delineating the scope of cognitive vision, and follow this by a survey of the …

With recent advances in motion detection and tracking in video, more efforts are being
directed at higher-level video analysis such as recognizing actions, events and activities …

This work presents a new object categorization method and shows how it can be used for
image retrieval. Our approach involves machine learning and knowledge representation …

This work deals with cognitive vision and in particular semantic image interpretation. One of
the main challenges of cognitive vision is to develop a flexible, adaptable system, capable of …

This paper presents a generic cognitive vision platform for the automatic recognition of
natural complex objects. The recognition consists of three steps: image processing for …

This paper presents an ontology-based system for helping inexperienced users formulate
image processing applications. We propose models and their formalization through …