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It's difficult to find location in indoor environments such as subway station and airport passenger terminal. However, the detection and recognition of public sign make it possible to find out the place to go. Proposed system can help visually impaired persons or mobile robots in unfamiliar places. We propose the detection method of public signs in natural images. Especially, we dealt with several...
This paper describes the reason that perception technology in HRI has not given high performance enough to be used for commercial service robots. As a practical solution for better performance of perception technology, we propose a perception framework with a dedicated perception engine called a perception demon. The demon in the proposed framework constantly collects evidences and analyses them better...
The number detection is useful in various applications such as license plate localization, detection of number button in elevator, and detection of exit number sign in public transport station. In this paper, we propose number detection methods in natural image using AdaBoost based on Modified Census Transform (MCT) features. It is a difficult task to detect numbers, characters, and specific symbols,...
This paper presents a character segmentation method to address automatic number plate recognition problem. The method considered pixel intensity, character appearance, and arrangement of characters altogether to segment character regions. The method firstly discovers candidate blobs of characters by using connected component analysis and appearance-based character detection. A character recognizer...
A character segmentation algorithm for automatic license plate recognition is presented in this paper. Character regions are selected through binarization, connected component analysis, and character recognition. A blob analysis operation excludes noisy blobs, merges fragmented blobs, and splits clumped blobs. A character segmentation module achieved an accuracy rate of 97.2%. The recognition accuracy...
In the many processing stage of face recognition, one of the most important parts is face detection. In the recent years, there has been much progress in face detection. Many face recognition system adopt or develop the Adaboost: Viola-Jones face detection system. But the detected face image by adaboost method has serious problems. Face regions are apt to be different at each time, and the detected...
The attempt to recognize a user through the single recognition expert like the face recognition and speaker recognition is actively comprised. But these single recognition techniques are difficult to cover the user recognition perfectly since the real environment in which a robot is positioned include the variations of the illumination and noise, and etc. In this paper, the fusion technique using...
In this paper, the user identification based on face and speaker information obtained from camera and microphone for the intelligent service robot is proposed. For this purpose, we use fisherface method for face recognition. The choice of the fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. Furthermore, we...
This paper is concerned with the appearance-based face recognition from robot camera images with illumination and distance variations. The approaches used in this paper consist of eigenface, fisherface, and icaface, which are the most representative recognition techniques frequently used in conjunction with face recognition. These approaches are based on a popular unsupervised and supervised statistical...
This video is concerned with a scenario for developing speech-based Human-Robot Interaction (sHRI) components for Ubiquitous Robot Companion (URC) Intelligent Service Robots as one of the next-generation growth engine industries in Korea. Here the URC means that it will provide the necessary services at any time and place to meet the user's requirements. Thus, it combines the network function with...
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