In the past decade, it was a significant trend for surveillance applications to send huge
amounts of real-time media data to the cloud via dedicated high-speed fiber networks …

Internet of Things (IoT) and artificial intelligence (AI) can realize the concept of “smart city.”
Video surveillance in smart cities is, usually, based on a centralized framework in which …

With the rapid development of Internet-of-Things and communication techniques, media
transmission in surveillance applications is gradually relying on wireless networks …

Decentralized edge computing techniques have been attracted strongly attentions in many
applications of intelligent Internet of Things (IIoT). Among these applications, intelligent edge …

Computer vision tasks such as object detection are crucial for the operations of autonomous
vehicles (AVs). Results of many tasks, even those requiring high computational power, can …

Along with the rapid development of cloud computing, IoT, and AI technologies, cloud video
surveillance (CVS) has become a hotly discussed topic, especially when facing the …

Accurate, real-time object detection on resource-constrained devices enables autonomous
mobile vision applications such as traffic surveillance, situational awareness, and safety …

Automated object detection algorithm is an important research challenge in intelligent urban
surveillance systems for Internet of Things (IoT) and smart cities applications. In particular …

Due to high mobility and high dynamic environments, object detection for vehicular networks
is one of the most challenging tasks. However, the development of integration techniques …

Object detection and recognition is commonly used in diverse computer vision based
applications and many algorithms are proposed in literature. However, application of object …