In this paper, a real-time deep learning-based framework for detecting and tracking
Unmanned Aerial Vehicles (UAVs) in video streams captured by a fixed-wing UAV is …

In this paper, a real-time unmanned aerial vehicles (UAVs) detection framework is proposed
for GPU embedded applications. To achieve this, this paper proposed a new modified model …

Target tracking faces various challenges in natural scenes, such as changing lighting, scale,
occlusion, etc. In response to these issues, research is based on the use of Siamese neural …

Object tracking is a computer vision problem that gained attention in the past few decades.
Numerous algorithms targeting various challenges associated with object tracking have …

摘要针对KCF (核相关滤波算法) 对快速运动过程中的物体或在视频帧率较低情况下,
稳定性较差的问题. 论文在经典KCF 算法上结合了双目测距算法, 设计并实现了一种目标跟随 …

Object counting is an active research area that gained more attention in the last few years.
Since deep learning methods outperformed all other object detection algorithms, the design …

During the ongoing Covid-19 Pandemic when we need to operate any public facility like
museum, shopping mall, restaurants, or public dealing organizations, we not only need to …

İnsansız hava araçları yüksek manevra kabiliyeti ve havada asılı kalma yeteneği ile yaygın
olarak kullanılır hale gelmiştir. Günümüzde askeri alanda sıklıkla kullanılır hale gelmiş olan …

Intelligent surveillance systems have a large number of cameras installed. Abnormal vehicle
or human entry at a certain location or time may potentially result in monetary loss and/or …

With the vigorous development of multi-agent collaborative technology, autonomous
position for multiple wheeled mobile robots is becoming more and more important. Motion …