Home video surveillance systems are widely used to track potential criminal activities and
serve as a formidable deterrent to potential intruders and wrongdoers. Nonetheless, it's …

Since the real-time video analytics with high accuracy requirement is resource-consuming,
the profiles regarding such resource-accuracy trade-off are needed before the analytics for …

Smart-city applications ranging from traffic management to public-safety alerts rely on live
analytics of video from surveillance cameras in public spaces. However, a growing number …

The escalating use of security cameras has resulted in a surge in images requiring analysis,
a task hindered by the inefficiency and error-prone nature of manual monitoring. In …

The use of wide-area persistent surveillance by the US military—employing airborne video-
camera systems to observe large expanses over extended periods of time (see Figure 1)—is …

Understanding large-scale video traffic big data is the new frontier of today's AI smart
transportation advancement. The AI City Challenge 2019 is the third sequel of a yearly event …

Many private and public organizations deploy large numbers of cameras, which are used in
application services for public safety, healthcare, and traffic control. Recent advances in …

With advances in wireless network infrastructure providing powerful support for surveillance
video communications, it is practical to meet the needs of intelligent surveillance systems in …

Intelligent video analysis from sources such as urban surveillance cameras is a prolific
research area today. Multiple types of computer architectures offer a wide range of …

Artificial Intelligence has found its way through applications within diverse fields such as
education, engineering, academics, among others. And even though constant improvement …