Masahide Naemura

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Although it has been observed that motion-compensated frame differences increase toward block boundaries and overlapped block motion compensation (OBMC) has been shown to provide reduced blocking artifacts as well as improved prediction accuracy, there is almost no satisfactory theoretical basis that clearly interprets the space-dependent characteristics of(More)
The purpose of this study is to stimulate communication among the elderly population of Japan (where more than 21% of the population is aged 65 years and above) and to find ways to use their knowledge and labor skills with the aid of information and communications technology. Toward this end, we launched a joint research project called "Senior Cloud" in(More)
This paper presents a technique for integrating multiple visual features for tracking moving objects. Our proposed method consists of observation (pattern-matching) units and prediction units, which form a ladder structure. The major feature of our proposed method is that each of the observation units with different pattern matching algorithms is executed(More)
This paper proposes a distributed state estimation architecture for multi-sensor fusion. The system consists of networked subsystems that cooperatively estimate the state of a common target from their own observations. Each subsystem is equipped with a self-contained particle filter that can operate in stand-alone as well as in network mode with a particle(More)
We developed a new device-free user interface for TV viewing that uses a human gesture recognition technique. Although many motion recognition technologies have been reported, no man–machine interface that recognizes a large enough variety of gestures has been developed. The difficulty was the lack of spatial information that could be acquired from normal(More)
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the estimate of trajectories of the objects in the world coordinates using many plug-ins that observe various features such as texture, color, region and motion in 2D images acquired by(More)
In the context of a larger project dealing with kansei analysis of movement, we present a basic method for applying real-time filters to human motion capture data in order to modify the perceived emotional affect of the movement. By employing a commercial realtime 3D package, we have been able to quickly prototype some interfaces to an as yet non-existent(More)
We propose a method for estimating dancing skills based on rhythmical factors extracted by video processing. The proposed method consists of motion analysis to obtain motion parameters of human body parts and data analysis to transform the obtained complex motion parameters into compact forms that represent the dance actions. We use a Kalman filter to(More)