Object detection algorithms, from high-resolution optical remote sensing images, have been
booming from the last few years. However, object tracking for high-resolution optical remote …

Deep learning methods have achieved the state-of-the-art performance of object detection
and tracking in natural images, such as keypoint-based detectors and appearance/motion …

A panoramic surveillance system is designed to achieve continuous monitoring of the
surrounding environment. The image acquisition module of the system is composed of five …

Internet of Things (IoT) has brought changes in many fields by joining physical space with
the cyber space. The IoT devices are becoming increasingly complex. With the rapid …

Rapid and accurate detection of maritime military targets is of great significance for
maintaining national defense security. Few studies have used high-resolution optical …

Detecting tiny objects in a high-resolution video is challenging because the visual
information is little and unreliable. Specifically, the challenge includes very low resolution of …

Video object detection is a fundamental research task for scene understanding. Compared
with object detection in images, object detection in videos has been less researched due to …

Optical remote sensing videos, as a new source of remote sensing data that has emerged in
recent years, have significant potential in remote sensing applications, especially national …

Target detection and tracking in unmanned aerial vehicle (UAV) surveillance enhance the
monitoring capacity. In surveillance, the collection of data for long duration necessitates data …

Object detection and tracking from airborne imagery draws attention to the parallel
development of UAV systems and computer vision technologies. Aerial imagery has its own …