We approach the task of human silhouette extraction from color and infrared video using automatic image reg-istration. Image registration between color and thermal im-ages is a challengingproblem due to the dificulties asso-ciated with finding correspondence. Howevel; the moving people in a static scene provide cues to address this prob-lem. In this papel; we propose a hierarchical scheme to automatically find the correspondence between the prelim-inary human silhouettes extracted from color and infrared video for image registration. Next, we discuss some strate-gies for probabilistically combining cues from registered color and thermal images. It is shown that the proposed ap-proach achieves good results for image registration and hu-man s...
Extracting high level features is an important field in video indexing and retrieving. Identifying t...
Night-time driving is more dangerous than day-time driving — particularly for older drivers. Three t...
Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental ...
We approach the task of human silhouette extraction from color and thermal image sequences using aut...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
Detecting and tracking people in images is an attractive method to monitor their movements. It is b...
This paper presents a novel approach to detect persons in video by combining optical flow based moti...
In most of today's surveillance tasks, people's actions are the focus of attention. A prerequisite f...
Human detection in video streams is an important task in many appli-cations including video surveill...
Obtaining accurate 3d descriptions in the thermal infrared (TIR) is a quite challenging task due to ...
The first step in order to achieve low-level multi-sensor fusion is the registration of images from ...
Video-surveillance is a very actual and critical issue at the present time. Within this topic we add...
This paper describes an approach for pedestrian detection in stereo infrared images. The developed s...
Obtaining accurate 3d descriptions in the thermal infrared (TIR) is a quite challenging task due to ...
This PhD thesis develops and implements a robust multisensor human detection systembased on fusing t...
Extracting high level features is an important field in video indexing and retrieving. Identifying t...
Night-time driving is more dangerous than day-time driving — particularly for older drivers. Three t...
Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental ...
We approach the task of human silhouette extraction from color and thermal image sequences using aut...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
Detecting and tracking people in images is an attractive method to monitor their movements. It is b...
This paper presents a novel approach to detect persons in video by combining optical flow based moti...
In most of today's surveillance tasks, people's actions are the focus of attention. A prerequisite f...
Human detection in video streams is an important task in many appli-cations including video surveill...
Obtaining accurate 3d descriptions in the thermal infrared (TIR) is a quite challenging task due to ...
The first step in order to achieve low-level multi-sensor fusion is the registration of images from ...
Video-surveillance is a very actual and critical issue at the present time. Within this topic we add...
This paper describes an approach for pedestrian detection in stereo infrared images. The developed s...
Obtaining accurate 3d descriptions in the thermal infrared (TIR) is a quite challenging task due to ...
This PhD thesis develops and implements a robust multisensor human detection systembased on fusing t...
Extracting high level features is an important field in video indexing and retrieving. Identifying t...
Night-time driving is more dangerous than day-time driving — particularly for older drivers. Three t...
Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental ...