Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …

Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Single-object tracking is a well-known and challenging research topic in computer vision.
Over the last two decades, numerous researchers have proposed various algorithms to …

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a
tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art …

In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

Featured Application An approach for object tracking in logistics warehouses based on
YOLOv5 and DeepSORT is proposed, which distinguishes humans from goods, and an …

Object tracking is one of the foremost assignments in computer vision that has numerous
commonsense applications such as traffic monitoring, robotics, autonomous vehicle …

Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

Object tracking is an essential aspect of environmental perception technology for
autonomous vehicles. The existing object tracking algorithms can only be applied well to …