When bright moving objects are viewed with an electrooptical system at long range, they appear as small, slightly blurred moving points in the recorded image sequence. Typically, such point targets need to be detected in an early stage. However, in some scenarios the background of a scene may contain much structure, which makes it difficult to detect a point target. The novelty of this work is that superresolution reconstruction is used for suppression of the background. With superresolution reconstruction a high-resolution estimate of the background, without aliasing artifacts due to undersampling, is obtained. After applying a camera model and subtraction, this will result in difference images containing only the point target and temporal...
For many military operations situational awareness is of great importance. This situational awarenes...
Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides...
This paper presents a method to predict the limit of possible resolution enhancement given a sequenc...
Surveillance applications are primarily concerned with detection of targets. In electro-optical surv...
When bright moving objects are viewed with an electro-optical system at very long range, they will a...
In many applications, such as observation systems, it is important to detect and identify a possible...
Superresolution reconstruction algorithms are increasingly being proposed as enhancements for low re...
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered backgrou...
Unlike most Super-Resolution (SR) methods described in literature, which perform only SR reconstruct...
Moving objects are often the most interesting parts in image sequences. When images from a camera ar...
This paper proposes a new background subtraction method for detecting moving objects from a time-var...
In this paper we present a super-resolving approach for detecting an axially moving target that is b...
Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides...
There have been numerous applications of superresolution reconstruction algorithms to improve the ra...
The performance of a super-resolution (SR) reconstruction method on real-world data is not easy to m...
For many military operations situational awareness is of great importance. This situational awarenes...
Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides...
This paper presents a method to predict the limit of possible resolution enhancement given a sequenc...
Surveillance applications are primarily concerned with detection of targets. In electro-optical surv...
When bright moving objects are viewed with an electro-optical system at very long range, they will a...
In many applications, such as observation systems, it is important to detect and identify a possible...
Superresolution reconstruction algorithms are increasingly being proposed as enhancements for low re...
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered backgrou...
Unlike most Super-Resolution (SR) methods described in literature, which perform only SR reconstruct...
Moving objects are often the most interesting parts in image sequences. When images from a camera ar...
This paper proposes a new background subtraction method for detecting moving objects from a time-var...
In this paper we present a super-resolving approach for detecting an axially moving target that is b...
Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides...
There have been numerous applications of superresolution reconstruction algorithms to improve the ra...
The performance of a super-resolution (SR) reconstruction method on real-world data is not easy to m...
For many military operations situational awareness is of great importance. This situational awarenes...
Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides...
This paper presents a method to predict the limit of possible resolution enhancement given a sequenc...