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This paper presents a method to extract posture from a series sequence of contour images which were taken from the side of a person. We extract a cycle from the image sequence and confirm the body region, then extract the articulation points of a human body in each images of the sequence and normalize the frame number using cubic spline. In the experiment, we used 360 image sequences taken from 60...
This paper presented a new gait identification and authentication method based on Haar wavelet and Radon transform. This method consists of two stages, gait modeling and recognition. In the first stage, images extracted from video sequences are pre-processed into binary silhouette. In terms of gait cycle, they are divided into 4 states, in each of which the distinct images are selected. The horizontal...
We present an approach to identify noncooperative individuals at a distance from a sequence of images, using 3-D face models. Most biometric features (such as fingerprints, hand shape, iris, or retinal scans) require cooperative subjects in close proximity to the biometric system. We process images acquired with an ultrahigh-resolution video camera, infer the location of the subjects' head, use this...
Face recognition is nowadays one of the most challenging biometric modalities for the identification of individuals. In the last two decades several experimental as well as commercial systems have been developed exploiting different physical properties of the face image. Either being based on processing 2D or 3D information all these methods perform a face classification of the individuals based on...
The reliable extraction of characteristic gait features from image sequences is an important issue in gait recognition. In this paper we propose a simple, but efficient approach to extract gait feature. In view of the spatio-temporal motion characteristic of gait, we adopt the shape variation information between successive frames to denote gait information, called interframe variation vector- IVV...
Gait recognition refers to automatic identification of an individual based on the style of walking; itpsilas a new biometrics recognition technology. This paper attempts to describe gait signature based on anatomical knowledge, to make quasi-periodic analysis on height and width ratio of gait image, and to solve the problems resulting from image sequence of different gait cycle by HMM. By utilizing...
A gait recognition method based on Fourier descriptors (FD) is put forward. First of all, by analyzing the gait cycle, gait sequence of the key frame could be subtracted from the image sequence, then we can get movement of the contours of human body through background abatement and use Fourier descriptors to handle key frames profile and compress the data. At last, we could get template matching,...
An appearance-based approach to gait recognition is proposed in this paper. The vector data scanned in horizontal, vertical and diagonal direction to the binarized silhouette of a walking person are chosen as the basic gait features. On the basis of the discrete wavelet transformation (DWT), these time spatial feature sequences are decomposed to reduce data dimensionalities and to filter the noise...
We present an approach to identify non-cooperative individuals at a distance from a sequence of images using 3D face models. Most biometric features (such as fingerprints, hand shape, iris or retinal scans) require cooperative subjects in close proximity to the biometric system. Even top 2D face recognition systems today are only reliable at a distance when presented with frontal images. Our approach...
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