Gender is one of the important demographic features of human being. Gender recognition is very important perceptible task as most of the human interaction is based on such gender perception. Investigation of human gender with the help of computer based perception is an interesting topic to be studied. This paper presents the study to perceive human gender on the basis on movements of the body part including the still position of human body. Human movements, for example, running, walking or climbing has been formerly proposed to identify the gender of the person. This paper surveys the approaches based on this technique. It also points out the hurdles to implement this method. We also study how different body parts help as to implement this method. This paper also surveys a brief about different approaches and obstacles that come in implementing different methods in recognizing the gender with help of computerized vision.

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Gender Gender Recognition Gait Geometric Classification Eigen Face Pca.