Research in human activity recognition (HAR) has seen tremendous growth and
continuously receiving attention from both the Computer Vision and the Image Processing …

A novel method for human action recognition using a deep learning network with features
optimized using particle swarm optimization is proposed. The binary histogram, Harris …

Hand gesture recognition is a simpler and more natural way of human computer interaction.
The goal of this paper is to detect the continuous gestures and use them to convey …

To achieve scale invariance, existing methods based on multi-scale local binary patterns
(LBP) usually concatenate histograms of LBP codes from different scales. Direct …

Local binary pattern (LBP) is an effective image descriptor that is being used in various
computer vision applications such as detection of faces, object classification, target …

In the fields of Augmented Reality (AR) and Virtual Reality (VR), Human-Computer
Interaction (HCI) is an important component that allows the user to interact with its virtual …

Human action recognition plays a significant role in a number of computer vision
applications. This work is based on three processing stages. In the first stage, discriminative …

Local binary pattern (LBP) is an effective image descriptor that is being used in various
computer vision applications such as detection of faces, object classification, target …

Day for day it becomes easier to temper digital images. Thus, people are in need of various
forgery image detection. In this paper, we present forgery image detection techniques for two …

Video surveillance systems are omnipresent and automatic monitoring of human activities is
gaining importance in highly secured environments. The proposed work explores the use of …