W hen a sign language recognition system will be used for teaching purposes, the students cannot train the system. Therefore person independent recognition has to be performed by using a pre-assembled gesture data set. Although many systems have been developed that train and recognize the same person, few research is done on person independent gesture recognition. In this paper we present three...

The biometric identification of a person using face trait is more efficient compared to other traits as the co-operation of a person is not required. In this paper, we propose a feature vector compression approach for face recognition using convolution and DWT.The one level DWT is applied on face images and considered only LL band. The normalized technique is applied on LL sub band to reduce hi...

Previous research has suggested that human performance on the task of matching previously unseen faces is often poor and varies widely from person to person. The external face features can strongly influence unfamiliar face matching but are potentially unreliable cues, and attention to internal face features may facilitate matching performance. Forty-three first year psychology students perform...

Hindi-Urdu displays an asymmetry with respect to the availability of Closest Conjunct Agreement. It is available only to objects and not to subjects. Agreement with subjects is always agreement with the full conjunct. We argue that this asymmetry in Conjunct Agreement is related to another asymmetry between subject and object agreement in Indo-Aryan languages: object agreement never involves pe...

An important field in today’s computer vision is person centric video analysis. The basis of this person centric analysis is the detection and tracking of people in video data. In many cases it is not sufficient to track people when they continuously appear in the camera’s field of view, but to also reacquire a track after a person has left a field of view and reenters it. In this paper, we int...

In this paper, we propose a method for compensating for motion features that are outside a given viewing angle by using a regression estimate that is based on a correlation between the motion features from human bodies deficient visually, when recognizing the actions of people whose bodies are only partially within the given view. This compensation is good for use in situations where parts of a...