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For live television broadcast such as the educational program for children conducted through viewer participation, the smooth integration of virtual contents and the interaction between the casts and them are quite important issues. Recently there have been many attempts to make aggressive use of interactive virtual contents in live broadcast due to the advancement of AR/VR technology and virtual...
We describe a new method to relieve common assumptions/ restrictions in head tracking by using a model-based approach. This improves local feature matching which only considers the pattern around the extracted feature excluding the object shape, so that misalignment can occur. In this paper, to overcome constraints on motion we consider region- and distance-based feature refinement methods to validate...
Visual surveillance finds increasing deployment for monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose. In surveillance environments, it is necessary to handle pose variation of the human head, low frame rate, and low resolution input images. We describe the first use of gait to enable face acquisition...
Detecting and recognizing people is important in surveillance. Many detection approaches use local information, such as pattern and colour, which can lead to constraints on application such as changes in illumination, low resolution, and camera view point. In this paper we propose a novel method for estimating the 3D head region based on analysing the gait motion derived from the video provided by...
Many face biometrics systems use controlled environments where subjects are viewed directly facing the camera. This is less likely to occur in surveillance environments, so a process is required to handle the pose variation of the human head, change in illumination, and low frame rate of input image sequences. This has been achieved using scale invariant features and 3D models to determine the pose...
The embedded devices in biometrics have gained increasing attention due to the demand for reliable and cost-effective personal identification systems. However, the current available embedded devices are not suitable for the real-time implementation of a biometric application system because of the limited computational resource and memory space. In this paper, we describe the design of embedded biometric...
This paper addresses a new face feature extraction method using elliptical model based background deletion and the generalized facial energy map (FEM). First of all, the method utilizes the elliptical model of a face to get a good normalized face image. This elliptical model based approach, thus, can easily delete the background region of high complexity. Next, the method generates a generalized FEM...
We propose a novel method of eye detection that is robust to obstacles such as the surrounding illumination, hair, glasses and etc. The obstacles above the face images are the constraints to detect eye position. These constraints affect the performance of face application systems such as face recognition, gaze tracking, and video indexing system. To overcome this problem, our method for eye detection...
In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial facial expression mimic system which can...
For face tracking in a video sequence, various face tracking algorithms have been proposed. However, most of them have difficulty in finding the initial position and size of a face automatically. In this paper, we present a fast and robust method for fully automatic multi-view face detection and tracking. Using a small number of critical rectangle features selected and trained by the Adaboost learning...
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