The recent progress in artificial intelligence (AI) and machine learning (ML) has enabled
computing platforms to solve highly complex difficult problems in computer vision, robotics …

Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …

Detecting moving objects is of great importance for autonomous unmanned vehicle systems,
and a challenging task especially in complex dynamic environments. This paper proposes a …

Moving object detection (MOD) has become a popular topic in video analysis due to its use
in several applications, including video coding in wireless surveillance. However …

Limited processing power and memory prevent realization of state of the art algorithms on
the edge level. Offloading computations to the cloud comes with tradeoffs as compression …

Moving object detection (MOD) has gained significant attention for its application in
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …

The use of Multimedia Wireless Sensor Networks (MWSNs) is becoming common nowadays
with a rapid growth in communication facilities. Similar to any other WSNs, these networks …

With the rapid development of Internet-of-Things (IoT), self-powered visual perception
systems attract lots of attention. This brief presents a near-sensor motion detection …

Today's cameras are designed to approximate what they observe in a manner that
preserves entropy. However, time critical autonomous applications such as autonomous …

In this work, we propose a fast and efficient Region-of-Interest based video coding strategy
for surveillance systems involving low bitrate. The proposed algorithm is based on a …