Edge computing has emerged as a pivotal paradigm shift in the realm of data processing
and analytics, revolutionizing the way organizations handle real-time data. This review …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

The infrastructure construction process cannot be separated from construction machinery; it
will inevitably produce wear and tear in the work. The level of wear and tear is severe and …

Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …

Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

Visual tracking and attribute estimation related to age or gender information of multiple
person entities in a scene are mature research topics with the advent of deep learning …

The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …

The video surveillance system is a key component of the technologies deployed in smart
cities. It serves a variety of applications, including public safety, crime prevention, traffic …

The rapid proliferation of drones across various industries necessitates a comprehensive
examination of the privacy and ethical implications in their cybersecurity landscape. This …

In today's modern society, video surveillance is a growing trend and it can revolutionize
many aspects of technology, especially in future smart cities that will transform traditional …