In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper proposes an algorithm based on multi-orientation Gabor feature fusion of mean and variance of subimages. Firstly, to remove the huge background regions, we segmented images based on YCbCr space and then used two-eye templates to locate faces in skin-color regions by template matching. Secondly, the fe...

Face Recognition is a computer application that is drawing much attention in the computer society in the areas like network security, privacy, video conferencing and content indexing and retrieval. These systems should be able to correctly detect and recognize different faces from the images. Many face recognition algorithms have been proposed that help faces to be identified on systems. The ai...

In this paper, a novel gesture spotting and recognition technique is proposed to handle hand gesture from continuous hand motion based on Conditional Random Fields in conjunction with Support Vector Machine. Firstly, YCbCr color space and 3D depth map are used to detect and segment the hand. The depth map is to neutralize complex background sense. Secondly, 3D spatio-temporal features for hand ...

Arrow traffic lights are common at intersections of current urban scenes. However, existing algorithms mainly focus on recognition methods of circle traffic light. A novel system used to detect and recognize arrow traffic lights in urban scenes is proposed in the paper. Firstly, the boards of traffic light are exactly localized by image segmentation and morphology processing, then candidates of...

This paper offers toughness to external factors such as lighting, background, angle and improved algorithm on detecting speed. this paper uses the S-LGP(Symmetry Uniform Local Gradient Pattern) and U-LGP(Uniform Local Gradient Pattern) methods that improve the symmetry and uniform using the LGP(Local Gradient Pattern) that are stronger against external factors such as changes of lighting, facia...

Locating skin pixels in images or video sequences where people appear has many applications, specially those related to Human-Computer Interaction. Most work on skin detection is based on modelling the skin on different color spaces. This paper explores the use of texture as a descriptor for the extraction of skin pixels in images. For this aim, we analyzed and compared a proposed color-based s...

The drastic ascent in the volume of spatial data owes its growth to the technical advancements in technologies that aid in spatial data acquisition, mass storage and network interconnection. Thus the necessity for automated detection of spatial knowledge from voluminous spatial data arises. Fire plays a vital role in a majority of the forest ecosystems. Forest fires are serious ecological threa...

Melanoma skin cancer diagnosis can be challenging due to the similarities of the early stage symptoms with regular moles. Standardized visual parameters can be determined and characterized to suspect a melanoma cancer type. The automation of this diagnosis could have an impact in the medical field by providing a tool to support the specialists with high accuracy. The objective of this study is ...