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Ever since the beginning of research on gait recognition, the main focus has been on investigating gait as a biometric. For security surveillance systems, the detection of suspicious behavior is considered to be more relevant than the recognition of identity, which applies more to security authentication systems. Hence, this research uses gait features as cues to detect suspicious behavior. In this...
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...
Gait recognition, a new biometrics recognition technology, can discriminate individuals by the way they walk. A novel gait recognition method based on standard deviation energy image is proposed in this paper. Firstly, it divides video sequences into several gait cycles. Secondly, two kinds of energy images called nonzero and zero standard deviation energy image respectively are constructed. Finally,...
We present in this paper a new forgery scenario for the evaluation of talking-face verification systems. The scenario is a replay-attack where we assume that the forger has got access to a still picture of the genuine user. The forger is then using a dedicated software to realistically animate the face image, reproducing head and lip movements according to a given speech waveform. The resulting forged...
This paper describes a new simple, but effective, approach to speaker verification using video sequences of lip movements. We use motion history images (MHI) to provide a biometric template of a spoken word for each speaker. Class-dependent correlation filters are then created by a weighted optimization of training MHI samples. Feature extraction is performed by correlating a test MHI against each...
The background subtraction algorithm based on the YUV color space, image gradient and shape segmentation is used in this research to extract the region of interest from a real-time video surveillance camera. We choose to extract a human face from video sequence. This research has long been considered as an important and still challenging issue in video surveillance. In this paper we present an improved...
In modern society, the need for the establishment of defense and prevention mechanisms has encouraged the development of automatic human recognition systems based on biometrics, i.e. the analysis of a person's psychological and behavioral features. Gait, or the peculiar manner of walking, allows the recognition process to be made at a distance since it is possible to extract the gait information from...
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