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This paper presents a real-time system for hand gesture classification. The hands are detected using both the depth by the stereo camera and the skin color. The reconstructed trajectory of hands is classified into one of the gesture references.
In an image capture, a scene with non-uniform illumination has an influence on the image quality, especially the contrast and details in dark regions. For this reason, this paper presents a color correction method using a modified image formation model in which an image is divided into three components: global illumination, local illumination, and reflectance. The global illumination is obtained by...
Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. Because of high levels of occlusion, dense features, and shadows, object detectors tend to produce large numbers of false detections. We introduce a new method based on 3D head plane estimation that reduces these false detections...
In this paper, we propose a marker-less full body human motion capture system designed for humanoid robot applications. The system is based on a stereo camera, and therefore has strong portability. Tracking is implemented within the particle filter framework, and the high dimensionality problem is solved through partitioned sampling. Taking advantage of the stereo setup, we propose a depth cue which...
In this paper, a method for hand posture recognition, which is robust for hand posture changing in an actual environment, is proposed. Conventionally, a data glove device and a 3D scanner have been used for the feature extraction of hand shape. However, the performance of each approach is affected by hand posture changing. Therefore, this paper proposes the posture fluctuation model for efficient...
In many surveillance systems there is a requirement to determine whether a given person of interest has already been observed over a network of cameras. This paper presents two approaches for this person re-identification problem. In general the human appearance obtained in one camera is usually different from the ones obtained in another camera. In order to re-identify people the human signature...
A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. Developing a sign language recognition system will help the hearing impaired to communicate...
A novel stereo vision system for real-time human detection and tracking on a mobile service robot is presented in this paper. The system integrates the individually enhanced stereo-based human detection, HOG-based human detection, color-based tracking, and motion estimation for the robust detection and tracking of humans with large appearance and scale variations in real-world environments. A new...
This paper investigates a human hand motion capture based on back projection of human hand's silhouette images extracted from multi-camera images. The multi-camera system consists of a server-client system to run the motion capture in real time, and small USB cameras are utilized to make the system compact and low cost. To achieve robust extraction of the hand's silhouette that is used in silhouette...
This paper addresses the problem of determining a person's body and head orientations while tracking the person in an indoor environment monitored by a single top-view camera. The challenging part of this problem lies in the wide range of human postures depending on the position of the camera and articulations of the pose. In this work, a two-level cascaded particle filter approach is introduced to...
We propose a method that makes standard turntable-based vision acquisition a practical method for recovering models of human geometry. A human subject typically exhibits some unintended joint motion while rotating on a turntable. Ignoring such motion causes shape-from-silhouette to excessively carve the model, resulting in loss of geometry (especially on limbs). We utilize silhouette cues with an...
Detection of faces in cluttered scenes under arbitrary imaging conditions (pose, expression, illumination and distance) is prone to miss and false positive errors. The well-established approach of using boosted cascades of simple classifiers addresses the problem of missing faces by using fewer stages in the cascade. This constrains the misses by making detection easier, but increases the false positives...
Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it is necessary to evaluate the matching performance of these features. In this paper, four typical features are chosen for the evaluation. They are the color histogram, UV chromaticity,...
In this paper, we present an approach to capture markerless human motion and recognize human poses. Different body parts such as the torso and the hands are segmented from the whole body and tracked over time. A 2D model is used for the torso detection and tracking, while a skin color model is utilized for the hands tracking. Moreover, 3D location of these body parts are calculated and further used...
In this paper, a new approach for detecting surviving humans in destructed environments using a simulated autonomous robot is proposed. The proposed system uses a passive infrared sensor (PIR) in order to detect the existence of living humans and a low-cost camera in order to acquire a snapshot of the scene as needed. Having detected a sign of a living human, the PIR sensor triggers the camera to...
In this paper, we describe a method to detect human fingers from images captured by a stereo camera. The images captured by the stereo camera are preprocessed by a skin detection module. Two hands are extracted from the skin regions using disparity information. We then apply grayscale morphology and use BLOB analysis to detect fingers and their directions. The method is simple yet powerful for finger...
A camera can assist a robot to detect and track objects when it is used in a scout robot system, and hence, help the robot to navigate. This paper discusses problems of tracking a human face where an active camera is installed on a 2 DOF pan and tilt. Kinematics model between object in motion and image of camera is built. The face detection and tracking algorithm is introduced which uses complexion...
During the human-robot cooperation assembly process, detecting an operator's position not only protects the operator, but can also predict the operator's intention according to his position. This paper describes an image-based operator monitoring system based on the direct linear transformation (DLT) method. To overcome the changing light conditions in actual factories, a special color filter method...
In networked virtual environments, videoconferences or chatting over the Internet users are often graphically represented by virtual characters. Modeling realistic virtual heads of users suitable for animation implies a heavy artistic effort and resource cost. This paper introduces a system that generates a 3D model of a real human head with a little human intervention. The system receives five input...
Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Correction of red eyes without any human intervention is an important task. There are some algorithms existing for red-eye detection, but almost all of them have less accuracy, in addition, they cannot support both high pixel and single red-eye. In this paper, a novel approach is proposed...
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