In this paper, we describe an algorithm for object recognition that explicitly models and
estimated the posterior probability function, P (object/image). We have chosen a functional …

An active contour tracker is presented which can be used for gaze-based interaction with off-
the-shelf components. The underlying contour model is based on image statistics and …

Face recognition with still face images has been widely studied, while the research on video-
based face recognition is inadequate relatively, especially in terms of benchmark datasets …

We address the problem of face recognition from a large set of images obtained over time-a
task arising in many surveillance and authentication applications. A set or a sequence of …

如何描述每个个体人脸的特征, 使之区别于其他个体, 是人脸识别研究中的关键问题之一.
近年来提出了大量的方法, 其中随着主元分析在人脸识别中的成功应用之后 …

Motion trajectories provide rich spatiotemporal information about an object's activity. This
paper presents novel classification algorithms for recognizing object activity using object …

We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike
traditional kinematic tree representations, our model of the body is a collection of loosely …

Biometric person identity authentication is gaining more and more attention. The
authentication task performed by an expert is a binary classification problem: reject or accept …

This work proposes a subspace approach that regularizes and extracts eigenfeatures from
the face image. Eigenspace of the within-class scatter matrix is decomposed into three …

In this paper we describe a holistic face recognition method based on subspace Linear
Discriminant Analysis (LDA). The method consists of two steps: rst we project the face image …