In this study, the previous work, present status, benefits, and limitations of the state-of-the-art
technologies used in smart spraying technologies in precision weed management are …

Vehicle detection and tracking applications play an important role for civilian and military
applications such as in highway traffic surveillance control, management and urban traffic …

The aim of this paper is to detect abnormal events in video streams, a challenging but
important subject in video surveillance. We propose a novel algorithm to address this …

Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …

The world has seen in recent years great successes in applying deep learning (DL) for many
application domains. Though powerful, DL is not easy to be used well. In this invited paper …

The field of computer vision is revolutionized with the advancement of deep learning and the
availability of high computational power. In addition, in the field of computer vision, object …

In this paper, we introduce a novel vision-based framework for tracking multiple active
objects using guidance laws based on a rendezvous cone method. These guidance laws …

The area, object detection has seen a drastic development of algorithms and techniques
over the past years. The arrival of deep learning has boosted the improvement in accuracy …

Vehicle detection and tracking applications play an important role for military and civilian
applications such as in highway traffic surveillance control management and traffic planning …

A novel automatic vehicle detection and tracking framework is proposed in this research
work. First, the moving vehicles are detected in the frames of the video sequence by …