Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …

Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

In this paper, a parallel network based on hand detection and body pose estimation is
proposed to detect and distinguish human's right and left hands. The network is employed …

Deep neural networks have been widely used in numerous computer vision applications,
particularly in face recognition. However, deploying deep neural network face recognition on …

Sign language recognition is a challenging gesture sequence recognition problem,
characterized by quick and highly coarticulated motion. In this paper we focus on recognition …

Variational Level Set (LS) has been a widely used method in medical segmentation.
However, it is limited when dealing with multi-instance objects in the real world. In addition …

Robust hand detection and classification is one of the most crucial pre-processing steps to
support human computer interaction, driver behaviors monitoring, virtual reality, etc. This …

Recent research on hand detection and gesture recognition has attracted increasing interest
due to its broad range of potential applications, such as human-computer interaction, sign …

The most effective and accurate deep convolutional neural network (faster region‐based
convolutional neural network (Faster R‐CNN) Inception V2 model, single shot detector …

This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …