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We present a retrieval-based tracking system that requires less computational time and cost. The system tracks a user's location through a small portion of an image captured by the camera, and then refines the camera pose by propagating matchings to the whole image. Augmented information such as building names and locations will be delivered to the user. The progressive way to process image data not...
This paper presents a user recognition system, using face, height, and clothes color features under the special assumption that is a user is monitored and tracked. In real human-robot interaction situation, all information cannot be provided at the same time and some parts of frames in a video have no clues at all. In the proposed system, tracking is an important feature to recognize a user because...
The main objective of this work is to develop a robots' fleet working together to make assistance tasks in a hospital, geriatric or home in a collaborative way. This paper focus on multi-robot mapping and localization system for robotic assistants and a camera based system for tracking people. This paper presents a method to detect, recognize and track people using mount cameras fixed on a building...
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle facial expressions into corresponding extreme facial expressions. Facial expression deformation processes by extracting subtle motion vector of the predefined feature points and amplifying them. By adding amplified motion...
The unsupervised selection and posterior recognition of visual landmarks is a highly valuable perceptual capability for a mobile robot. Recently, we proposed a system that aims to achieve this capability by combining a bottom-up data driven approach with top-down feedback provided by high level semantic representations. The bottom-up approach is based on three main mechanisms: visual attention, area...
In this paper, we present an approach for monocular robot navigation based on natural landmarks. The scale invariant feature transform (SIFT) features are used to structure landmarks because they are invariant to image scale, rotation and translation. During learning phase, the algorithm selects the most visually salient natural landmarks in work environment on certain position. These natural landmarks...
For target tracking in Interference Environments of cognitive radar problem, Extended Karman, Particle filter algorithms etc. are generally used to be regarded as usual solutions to state estimation. Many techniques have been developed to improve performance of target tracking. In this paper, we set the structure and key features of target's tracking design for cognitive radar, and newly propose cognitive...
This paper describes an upper-body human motion capture system which combines a learning-based algorithm for human torso posture recognition with a model-based approach which estimates the human arms pose. The system uses a skin colour tracker to capture the movement of hands and face, and stereo data to obtain the silhouette of the human. The disparity map generated by the stereo vision system is...
Face detection nowadays is one of the most promising applications of image analysis and processing. One emerging application field is human-robot interaction. For many applications in this field (including face identification and expression recognition) the precision of facial feature detection and the computational burden are both critical issues. This paper presents a completely tunable hybrid method...
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