39 Result(s)
within
Conference Paper
Yoshio Iwai
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Chapter and Conference Paper
Identifying faces under varying pose using a single example view
Identifiying human faces with only a single face model per person is a difficult task, because the input face image may vary with position, expression and pose. This paper describes a flexible face identificat...
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Chapter and Conference Paper
Gesture recognition from image motion based on subspace method and HMM
This paper proposes a method to recognize human gestures from an image sequence based on Hidden Markov Model and Karhunen-Lo`eve Transform. As our method uses the motion vector field of the scene for recogniti...
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Chapter and Conference Paper
Wide-Range Tracking Hands in Real-Time
We propose a method for wide-range tracking of hands in real-time by a vision sensor. By using random sampling and importance sampling, our method can track hands and estimate hand positions in real-time. We u...
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Chapter and Conference Paper
Gesture and Posture Estimation by Using Locally Linear Regression
Many methods for measuring human motion have been proposed because they can be applied to various fields such as CG animation, virtual reality, and gesture recognition. This paper proposes a method for gesture...
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Chapter and Conference Paper
Face Recognition Based on Efficient Facial Scale Estimation
Facial recognition technology needs to be robust for arbitrary facial appearances because a face changes according to facial expressions and facial poses. In this paper, we propose a method which automatically...
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Chapter and Conference Paper
Face Recognition System Using Accurate and Rapid Estimation of Facial Position and Scale
Face recognition technology needs to be robust for arbitrary facial appearances. In this paper, we propose a face recognition system that is efficient and robust for facial scale variations. In the process of ...
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Chapter and Conference Paper
Video Synthesis with High Spatio-Temporal Resolution Using Motion Compensation and Image Fusion in Wavelet Domain
This paper presents a novel algorithm for obtaining a high spatio-temporal resolution video from two video sequences. These sequences are high resolution with low frame rate and low resolution with high frame ...
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Chapter and Conference Paper
Video Synthesis with High Spatio-temporal Resolution Using Spectral Fusion
We propose a novel strategy to obtain a high spatio-temporal resolution video. To this end, we introduce a dual sensor camera that can capture two video sequences with the same field of view simultaneously. Th...
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Chapter and Conference Paper
A Framework for Suspicious Action Detection with Mixture Distributions of Action Primitives
In this paper, we propose a generic framework for detecting suspicious actions with mixture distributions of action primitives, of which collection represents human actions. The framework is based on Bayesian ...
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Chapter and Conference Paper
Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation
In recent years, the detection accuracy has significantly improved under various conditions using sophisticated methods. However, these methods require a great deal of computational cost, and have difficulty i...
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Chapter and Conference Paper
Face Tracking and Recognition Considering the Camera’s Field of View
We propose a method that tracks and recognizes faces simultaneously. In previous methods, features needed to be extracted twice for tracking and recognizing faces in image sequences because the features used f...
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Chapter and Conference Paper
Table-Top Interface Using Fingernail Images and Real Object Recognition
Many researchers have proposed the development of table-top interfaces in the last decade. In a table-top system, for user satisfaction, they must be able to operate digital and analog media seamlessly. In thi...
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Chapter and Conference Paper
An Air Conditioning Control Method Based on Biological Fluctuation
A living environment should be comfortable for all residents. The thermal environment is one of the indices of comfort, but it is difficult to adopt a specific thermal environment suitable for all residents wh...
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Chapter and Conference Paper
Extracting Interval Distribution of Human Interactions
Recently, activity support systems that enable dialogue with humans have been intensively studied owing to the development of various sensors and recognition technologies. In order to enable a smooth dialogue ...
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Chapter and Conference Paper
Automatic Detection of Unconscious Reactions to Illuminance Changes in Illumination
In this study, we investigated expressive facial reactions in response to changes in the visual environment and their automatic extraction from sensors, in order to construct a comfortable level of illuminatio...
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Chapter and Conference Paper
Tracking People with Active Cameras
In this paper, we introduce a novel method on tracking multiple people using multiple active cameras. The aim is to capture as many targets as possible at any time using a limited number of active cameras.
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Chapter and Conference Paper
Generation of Facial Expression Emphasized with Cartoon Techniques Using a Cellular-Phone-Type Teleoperated Robot with a Mobile Projector
We propose a method for generating facial expressions emphasized with cartoon techniques using a cellular-phone-type teleoperated android with a mobile projector. Elfoid is designed to transmit the speaker’s p...
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Chapter and Conference Paper
Generation of Facial Expression for Communication Using Elfoid with Projector
We propose a method for generating facial expressions with a mobile projector built into a cellphone-type tele-operated android, called Elfoid. Elfoid is designed to transmit the presence of a speaker to a com...
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Chapter and Conference Paper
AR Navigation System Using Interaction with a CG Avatar
This paper describes a navigation system that is guided by a CG avatar using augmented reality (AR) technology. Some existing conventional AR navigation systems use arrows for route guidance. However, the posi...
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Chapter and Conference Paper
Regression Based Trajectory Learning and Prediction for Human Motion
This paper presents a method for learning and predicting human motion in closed environments.
