To date, general-purpose object-detection methods have achieved a great deal. However,
challenges such as degraded image quality, complex backgrounds, and the detection of …

Due to the COVID-19 crisis, the education sector has been shifted to a virtual environment.
Monitoring the engagement level and providing regular feedback during e-classes is one of …

Breast cancer (BC) masses and microcalcification are nonlinear with complex dynamics due
to which radiologists fail to properly diagnose breast cancer. In this paper, we used a hybrid …

In real-time object tracking systems, it is essential to assign a unique identifier or label to
each tracked object to distinguish it from other objects to reduce the number of ID switching …

Computer vision has made remarkable progress in traffic surveillance, but determining
whether a motor vehicle yields to pedestrians still requires considerable human effort. This …

Multi-object tracking (MOT) is a topic of great interest in the field of computer vision, which is
essential in smart behavior-analysis systems for healthcare, such as human-flow monitoring …

The control performance of quadrotor unmanned aerial vehicles (UAVs) in complex
environments can be affected by external disturbances and other factors. In this paper, an …

This paper presents a groundbreaking online educational platform that utilizes facial
expression recognition technology to track the progress of students within the classroom …

In this paper, a cutting-edge video target tracking system is proposed, combining feature
location and blockchain technology. The location method makes full use of feature …

Speed skating serves as a significant application domain for multiobject tracking (MOT),
presenting unique challenges such as frequent occlusion, highly similar appearances, and …