The registration of images from multiple types of sensors (particularly infrared sensor and color sensor) is the first step to achieve multi-sensor fusion. This is the subject of this paper. Registration is performed using the trajectories of the moving objects obtained by a novel multiple object tracking algorithm. The trajectories are matched using a RANSAC-based algorithm. The registration criteria used in this algorithm is based on the number of pixels in intersection after overlapping the two images. Results show registration accuracy close to the ground-truth after about 30 frames. The influence of the tracking method used to obtain the trajectories is also investigated
In this paper, we propose a novel hierarchical framework that combines motion and feature informatio...
This paper investigates how the object tracking performance is affected by the fusion quality of vid...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
The first step in order to achieve low-level multi-sensor fusion is the registration of images from ...
IR–visible camera registration is required for multi-sensor fusion and cooperative processing. Image...
In this paper, we propose an automatic image registration method for multi-sensor image fusion such ...
Abstract: This paper investigates how the object tracking performance is affected by the fusion qual...
Generic visual object tracking is the task of tracking one or several objects in all frames in a vid...
We approach the task of human silhouette extraction from color and infrared video using automatic im...
Abstract—In this paper, an automatic method is proposed to perform image registration in visible and...
The paper presents a method to register partially overlapping camera-views of scenes where the objec...
This paper presents an algorithm for accurately aligning two images of the same scene captured simul...
Traditional visual pedestrian tracking methods perform poorly when faced with problems such as occlu...
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (...
This report is the result of a master thesis made by two students at Linköping University. The aim w...
In this paper, we propose a novel hierarchical framework that combines motion and feature informatio...
This paper investigates how the object tracking performance is affected by the fusion quality of vid...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
The first step in order to achieve low-level multi-sensor fusion is the registration of images from ...
IR–visible camera registration is required for multi-sensor fusion and cooperative processing. Image...
In this paper, we propose an automatic image registration method for multi-sensor image fusion such ...
Abstract: This paper investigates how the object tracking performance is affected by the fusion qual...
Generic visual object tracking is the task of tracking one or several objects in all frames in a vid...
We approach the task of human silhouette extraction from color and infrared video using automatic im...
Abstract—In this paper, an automatic method is proposed to perform image registration in visible and...
The paper presents a method to register partially overlapping camera-views of scenes where the objec...
This paper presents an algorithm for accurately aligning two images of the same scene captured simul...
Traditional visual pedestrian tracking methods perform poorly when faced with problems such as occlu...
This paper investigates the impact of pixel-level fusion of videos from visible (VIZ) and infrared (...
This report is the result of a master thesis made by two students at Linköping University. The aim w...
In this paper, we propose a novel hierarchical framework that combines motion and feature informatio...
This paper investigates how the object tracking performance is affected by the fusion quality of vid...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...