Accurate fast hand detection and gesture recognition for hand understanding are still
challenging tasks that are influenced by the diversity of hands and the complexity of the …

The human hand is involved in many computer vision tasks, such as hand posture
estimation, hand movement identification, human activity analysis, and other similar tasks, in …

In this paper, we propose using the Google Colab deep learning framework to create and
train convolutional neural networks from scratch. The trained network is part of a core …

This article provides a method for accurate classification of peanuts. Peanuts can be
classified into three categories, including one peanut, two peanuts and three peanuts …

A two stage real-time hand gesture recognition system is presented. It combines a machine
learning trained detection step with a colour processing contour shape validation step. The …

Hand detection is a crucial pre-processing procedure for many human hand related
computer vision tasks, such as hand pose estimation, hand gesture recognition, human …

Human poses are difficult to estimate due to the complicated body structure and the self-
occlusion problem. In this paper, we introduce a marker-less system for human pose …

Hand detection plays a crucial role in various computer vision applications, yet it has
received limited research focus in recent years, lagging behind the generic object detection …

Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this
paper, we propose a deep-learning based approach which jointly learns an intermediate …

Recognising human activity from video stream has become one of the most interesting
applications in computer vision. In this study, a novel hybrid technique for human action …