Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Smart homes have grown in popularity not only as a luxury but also because of the
numerous benefits they provide. In this research, a home automation system is developed …

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 …

In the emerging fields of computer vision, robotics, and medicine, It's difficult to recognize
gestures in dynamic environment. For human-computer hand gesture tracking and …

Automated video surveillance frameworks quickly distinguish surprising and basic
circumstances in a packed climate that would help to pursue sufficient choices for security …

Multi-sensor data fusion has played a crucial role in a wide range of daily life activities
including smart homes, sports, healthcare, and so on. This work has presented a …

In the fields of body-worn sensors and computer vision, current research is being done to
track and detect falls and activities of daily living using the automatic recognition of human …

For intelligent transportation systems (ITSs) and planning that makes use of exact location
intelligence, accurate vehicle classification, and tracking are topics that are becoming more …

Internet of things (IoT) represent the small devices connected together wirelessly collecting
data to make lifestyle convenient. Inertial measurement units (IMU) and cameras connected …

Systems for traffic monitoring often rely on local platforms. Aerial images provide the
flexibility to sense the vehicle location and movements with appropriate resolution over a …