M. Masudur Rahman

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An efficient application of eigenspace technique to recognize human behaviors is described. The present paper investigates two types of recognition, i.e., recognition of an unknown human posture and a particular behavior by identifying human postures among several behaviors. A number of different posture sets from some selected behaviors create universal(More)
This paper describes a method for representing and/or recognizing human motion using an eigenspace analysis, referred to a tuned eigenspace, that is responsible for storing various human motions in terms of their sequential postures in an eigenspace and for recognizing unfamiliar posture and/or motion from the tuned eigenspace. We have also analyzed human(More)
In this paper, we introduce a tuned eigenspace technique so as to classify human motion. The method presented here overcomes those problems related to articulated motion and dress texture effects by learning various human motions in terms of their sequential postures in an eigenspace. In order to cope with the variability inherent to articulated motion, we(More)
A novel moving vehicle classification technique is introduced in this paper. The proposed method considers only particular viewpoint(s) of a car for classifying similar car and/or non-car. We obtain three different views (rear, side and front views) of cars and develop an eigendatabase. This paper shows that eigenspaces are well separated with respect to(More)
Gesture recognition has the potential to be a natural and powerful tool supporting efficient and intuitive interaction between the human and the computer. The primary goal of hand gesture recognition research is to create a system which can identify specific hand gestures and use them to convey information for device control. This paper proposes a(More)
Weight-perception-based novel control of a power-assist robot for the cooperative lifting of lightweight objects. International journal of advanced robotic systems, 9, 118-. permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. which permits unrestricted use, distribution, and reproduction in(More)