Object tracking has gained much interest in the last few years, especially in the context of
multiple object tracking. Many datasets used for tracking provide video sequences of people …

The accurate staging of liver fibrosis is of paramount importance to determine the state of
disease progression, therapy responses and to optimize disease treatment strategies. Non …

Image registration is widely used in many fields, but the adaptability of the existing methods
is limited. This work proposes a novel image registration method with high precision for …

Robust real-time ship detection and tracking for visual images automatically has become
one of the crucial requirements for numerous situations. In order to improve the performance …

Tracking infrared (IR) small targets is a vital component of many computer vision
applications, including IR precise guidance, early warning, and IR remote sensing. Various …

In a number of ocean surveillance and remote sensing applications, visible light and thermal
cameras are used to detect and identify objects at the sea surface. Knowing beforehand …

This study compares spectral bands for object detection at sea using a convolutional neural
network (CNN). Specifically, images in three spectral bands are targeted: long wavelength …

Illumination variability is one of the most important issues affecting imagery matching
performances and still remains a critical problem in the literature, although different levels of …

Traditional tracking methods place an emphasis on how to cope with the variations in target
appearance effectively. However, when the motion displacement of the target between …

Method of object detection and tracking is one of hot topics in image processing and
computer vision field, which is significant not only in military such as imaging guidance and …