Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …

Object detection and recognition have emerged as crucial research areas, driven by the dire
need to address the challenges posed by identifying and recognizing objects in diverse …

Aerial imagery is gaining significance across various domains, comprising agriculture,
disaster management, and surveillance. Durin this study, a unique method to tackle the …

Monitoring traffic is of vital relevance in our modern scenario. Over the years, standard ways
of capturing data, such as induction loops and camcorders, were applied for this aim …

Understanding human actions is crucial for enabling machines to interpret human behavior,
with applications spanning video-based surveillance applications, sports monitoring, and …

In computer vision and pattern recognition, image-based human activity detection has
gained popularity as a research topic. The process of recognizing human behavior from an …

The rise of computer vision technology has seen development of advanced algorithms that
can accurately detect human activities from RGB videos taken by drone cameras. One major …

Advanced traffic monitoring systems face major vehicle detection and classification
challenges. Conventional methods need significant computational resources and struggle to …

Smart conveyance techniques are crucial in modern society, enabling efficient traffic
management and ensuring public safety. Therefore, this paper proposes a novel approach …

Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …