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)
Poultry is the most frequent reservoir of non-typhoid Salmonella enterica for humans. Understanding the interactions between chickens and S. enterica is therefore important for vaccine design and subsequent decrease in the incidence of human salmonellosis. In this study we therefore characterized the interactions between chickens and phoP, aroA, SPI1 and(More)