Traffic monitoring is of outmost importance in today's modern world. In the past, stationary
data collectors such as video cameras and induction loops were used for this task. However …

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 …

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

The advancement of computer vision technology has led to the development of
sophisticated algorithms capable of accurately recognizing human actions from red-green …

To examine the realm of event identification and recognition within sequential images,
various parameters have been employed. These parameters encompass factors like the …

In the recent past, recognition of human locomotion activities has become a growing
research area. Health monitoring, detection of a crowd's behavior and indoor-localization …

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 …

Rapid growth and recent developments in education sector and information technologies
have promoted E-learning and collaborative sessions among the learning communities and …

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