Deep learning technology has been widely used in object detection. Although the deep
learning technology greatly improves the accuracy of object detection, we also have the …

This chapter provides a detailed overview and future of computer vision and artificial
intelligence technologies that are promising tools for supporting the emergency department …

The motion-based human detection from video data in the real-time automated surveillance
system is a tedious and challenging task that requires extracting meaningful information and …

In real-time based smart video surveillance system, the moving human detection in thermal
video is a critical task that filters out redundant information and extracts exigent information …

In today's world, augmented reality (AR) is a highly challenging and immerging technology
which presents some additional information to the existing real world. This is done by using …

Detecting objects using deep learning technology has the advantage of getting good
accuracy. The accuracy obtained depends on the processing time of using deep learning …

The detection of moving objects has become one of the most focused and challenging areas
from the last few decades in the domain of computer vision. Background subtraction (BGS) is …

Computer vision (CV) is a branch of artificial intelligence (AI) which intends to mimic the
work done by human vision. The processing of images is taken from digital cameras or video …

Technological advancements have a rapid effect on each domain of day today life, whether
it is medical domain or any other domain. Artificial intelligence has shown promising …

This chapter highlights the challenges and opportunities of the e-health system and
applications of e-health in the context of deep-tech interventions with a brief overview on …