Automatic processing of videos coming from small UAVs offers high potential for advanced
surveillance applications but is also very challenging. These challenges include camera …

Fusion of information gathered from multiple sources is essential to build a comprehensive
situation picture for autonomous ground vehicles. In this paper, an approach which performs …

Microprocessor cores are a major challenge in the test arena: not only is their complexity
always increasing, but also their specific characteristics intensify all difficulties. A …

It is usually difficult but important to extract distant targets from sea clutters and clouds since
the targets are small compared to the pixel field of view. In this paper, an algorithm based on …

This paper presents a new method for object detection and tracking based on visual
saliency as a way of mitigating against challenges present in maritime environments. Object …

The fusion of information gathered from multiple sources is essential to build a
comprehensive situation picture for autonomous ground vehicles. In this paper, an approach …

Person recognition is a key issue in visual surveillance. It is needed in many security
applications such as intruder detection in military camps but also for gaining situational …

In this paper, we focus on developing an algorithm for infrared-imaging guidance that
enables the aircraft to be reliably tracked in the event of interference. The key challenge is to …

This paper describes a new approach to detect and track maritime objects in real time. The
approach particularly addresses the highly dynamic maritime environment, panning …

Maritime awareness and autonomous navigation can be enabled by state-of-the-art deep
learning methods, by monitoring and tracking the position of maritime vessels. In our …