Real-time detection of humans is an evolutionary research topic. It is an essential and
prominent component of various vision based applications. Detection of humans in real-time …

Skin detection plays an important role in a wide range of image processing applications
ranging from face detection, face tracking, gesture analysis, content-based image retrieval …

This work presents a study of three important issues of the color pixel classification approach
to skin segmentation: color representation, color quantization, and classification algorithm …

A reliable human skin detection method that is adaptable to different human skin colors and
illumination conditions is essential for better human skin segmentation. Even though …

Color is an efficient feature for object detection as it has the advantage of being invariant to
changes in scaling, rotation, and partial occlusion. Skin color detection is an essential …

Detecting skin-colored pixels, although seems a straightforward easy task, has proven to be
quite a challenging task in images that are captured under complex unconstrained imaging …

Concrete structural component detection in color images is a key pre-process in various
applications such as construction progress measurement, structural health monitoring, and …

An algorithm for segmenting skin regions in color images using color and edge information
is presented. Skin colored regions are first detected using a Bayesian model of the human …

Face detection is the first step of any automated face recognition system. One of the most
popular approaches to detect faces in color images is using a skin color segmentation …

A new skin segmentation technique for color images is proposed. The proposed technique
uses a human skin color model that is based on the Bayesian decision theory and …