Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Deep learning, eg, convolutional neural networks (CNNs), has achieved great success in
image processing and computer vision especially in high-level vision applications, such as …

Abstract Human-Computer Interaction (HCI) exists ubiquitously in our daily lives. It is usually
achieved by using a physical controller such as a mouse, keyboard or touch screen. It …

This paper proposes a virtual mouse application based on the tracking of different hand
gestures. The system eliminates the dependency on any external hardware required to …

This paper presents an integrated image fusion and match score fusion of multispectral face
images. The fusion of visible and long wave infrared face images is performed using 2ν …

This paper proposes a method for monitoring driver safety levels using a data fusion
approach based on several discrete data types: eye features, bio-signal variation, in-vehicle …

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful
and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is …

Face detection is one of the most relevant applications of image processing and biometric
systems. Artificial neural networks (ANN) have been used in the field of image processing …

In this research, the information captured by Unmanned Aerial Vehicles (UAVs) are
eminently utilized in detecting and tracking moving objects which pose a primary security …

The face is the identity of a person. The methods to exploit this physical feature have seen a
great change since the advent of image processing techniques. The attendance is taken in …