Kunio Fukunaga

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We propose a method for describing human activities from video images based on concept hierarchies of actions. Major difficulty in transforming video images into textual descriptions is how to bridge a semantic gap between them, which is also known as inverse Hollywood problem. In general, the concepts of events or actions of human can be classified by(More)
In this paper, we propose a computer-controlled camera work that shoots object scenes to model the professional cameramen’s work and selects the best image among plural video images as a switcher. We apply this system to a shooting of a lecture scene. In the first, our system estimates a teacher’s action based on features of a teacher and a blackboard. In(More)
In visual surveillance applications, it is becoming popular to perceive video images and to interpret them using natural language concepts. In this paper we propose a new approach to generate natural language description of human behavior appeared in real video images. First, a head region of a human, on behalf of the whole body, is extracted from each(More)
This paper define a spatiotemporal mutual information on the pixels of a given video image on the basis of information theory (Shannon’s communication theory), which can be interpreted as the theoretical estimation of interested spots for human being. As an application of this spatiotemporal mutual information, we propose a method of producing a vivid video(More)
This paper deals with the problem of automated placement of electronic components in a circuit layout by using a graph-space approach. In this approach, the relationships of connections among modules in a given electronic circuit are represented by a hypergraph. Then by using a graph-space approach, the vertices (representing the modules) are mapped into(More)
We propose a method for segmentation of written regions on a blackboard in the lecture room using a video image. We firstly detect static edges of which locations on the image are stationary. And next, we extract several rectangular regions in which these static edges are located densely. Finally by use of fuzzy rules, extracted rectangles are merged as(More)