Crowd anomaly detection is a key research area in vision-based surveillance. Most of the
crowd anomaly detection algorithms are either too slow, bulky, or power-hungry to be …

Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA)
for the acceleration of various vision systems mainly on embedded devices have become …

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 …

In many computer vision systems, background subtraction algorithms have a crucial
importance to extract information about moving objects. Although color features have been …

Advancements in digital technologies have enabled cost-effective deployments of visual
sensor nodes that can detect a motion event in the coverage area. The real world field …

Wireless Sensor Networks (WSN) form an essential building block of the rapidly growing
Internet of Things (IoT). While WSNs have traditionally been designed for low-rate …

Embedded wireless video surveillance systems are gaining widespread popularity due to
advancements in internet of things (IoT) systems and wireless multimedia sensor networks …

Background subtraction is an important computer vision scheme for segmenting moving
objects from a video. The imminent IoT era imposes severe constraints on camera systems …

The wireless visual sensor network (WVSN) as a new emerged intelligent visual system, has
been applied in many video monitoring sites. However, there is still great challenge because …

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 …