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Biometrics is a rapidly developing technology that is to identify a person based on his or her physiological or behavioral characteristics. To ensure the correction of authentication, the biometric system must be able to detect and reject the use of a copy of a biometric instead of the live biometric. This function is usually termed " liveness detection ".(More)
Face indexing and searching from videos can be widely used in multimedia applications, information mining and biometric recognition. This paper presents a novel method for effective indexing and searching in videos. Differing from traditional methods, we sequentially integrate visual appearance with temporal continuity and position continuity for face(More)
State Machine Diagram (SMD) is one of the SysML behavior diagrams, but it is a kind of semi-formal model language. As a consequence, models can not be verified conveniently and efficiently, especially in real-time embedded system (RTES) field as there are no descriptions of time and probability in SMD. To address these problems, we extend SMD with time and(More)
The development of mobile platform has raised an emergent requirement for face-related multimedia applications. However, as the basis of such applications, face detection and tracking still suffers from large facial pose variation and limited computation resource. In this paper, a multi-view and real-time face tracking system is presented for mobile(More)
A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirement. The basic aim of a biometric identify system is to make distinction automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal(More)
This paper proposes a new feature descriptor named as Local Primitive Code (LPC), which exhibits impressively discriminative capability on various face datasets. Essentially, LPC descriptors are somewhat like filter banks of Gaussian derivatives to capture multi-scale and multi-orientation image local textures but meanwhile enables faster feature(More)
In this paper, we present a novel approach of using Earth Mover's Distance for video-based face recognition. General methods can be classified into sequential approach and batch approach. Batch approach is to compute a similarity function between two videos. There are two classical batch methods. The one is to compute the angle between subspaces, and the(More)