Human Posture Recognition from an Eigenspace
نویسندگان
چکیده
This paper addresses a novel approach to recognizing several humans' postures from just a single eigenspace and investigates a practical problem associated with dress changes in recognizing human postures automatically employing an eigenspace technique. A single eigenspace is prepared employing an ordinary man’s several orientations and various humans' postures are recognized from it. The dress effect in the eigenspace arises when a man/woman wears different dresses in the recognition stage employing a conventional parametric eigenspace method. This paper proposes to employ blurred-edge images with proper designing of the parameter of Gausian variance for overcoming the dress effect. We have conducted experiments using several humans' wearing various dresses in a laboratory environment and the approach has shown a satisfactory result.
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