Paper Title
Extraction of Standing Human Bodies from Single Image
Abstract
Detection and extraction of human bodies in an image are a very difficult task that can facilitate many
applications like background understanding and condition identification. In order to justify the challenge with the highly
dimensional activity like pose, scene complexity, and different types of human presence, the majority of existing works
needs computationally facility training The situation, dimensions, and color of the face are used for the localization of the
human body, structure of the models for the upper and lower body according to the study of human body measurements
especially on a comparative basis, and estimation of the skin color. To detection of kin color different levels of segmentation
are combined. In this paper principal component analysis (PCA) algorithm is used for face, upper body and lower body
detection. This paper presents an application of gray level co-occurrence matrix (GLCM) to extract features from an image.
Keywords - Face Detection, Principal Component Analysis, Filtered Image, Image Segmentation, Skin Detection, Upper
Body Detection and Gray level Co-occurrence Matrix