This PhD thesis develops and implements a robust multisensor human detection system based on fusing the information provided after segmenting infrared and color videos
In this paper, a new approach to real-time people segmentation through processing images captured by...
Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities...
Recently, human detection has been used in various applications. Although visible light cameras are ...
This PhD thesis develops and implements a robust multisensor human detection systembased on fusing t...
Detecting and tracking people in images is an attractive method to monitor their movements. It is b...
In the current context of increased surveillance and security, more sophisticated and robust surveil...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
In this paper, we present an efficient approach to detect and track salient objects from videos. In ...
This paper investigates the robustness of a new thermal-infrared pedestrian detection system under d...
Fire is considered one of the most serious threats to human lives which results in a high probabilit...
Doctoral Degree. University of KwaZulu- Natal, Durban.Video surveillance systems have become prevale...
Surveillance systems such as object tracking and abandoned object detection systems typically rely o...
This thesis describes investigations into improvements in the field of automated people tracking usi...
BACKGROUND INTRODUCTION In this paper, we present an efficient framework to cognitively detect and t...
In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combi...
In this paper, a new approach to real-time people segmentation through processing images captured by...
Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities...
Recently, human detection has been used in various applications. Although visible light cameras are ...
This PhD thesis develops and implements a robust multisensor human detection systembased on fusing t...
Detecting and tracking people in images is an attractive method to monitor their movements. It is b...
In the current context of increased surveillance and security, more sophisticated and robust surveil...
This is a study to investigate the fundamental problem of combining color and infrared imagery in a ...
In this paper, we present an efficient approach to detect and track salient objects from videos. In ...
This paper investigates the robustness of a new thermal-infrared pedestrian detection system under d...
Fire is considered one of the most serious threats to human lives which results in a high probabilit...
Doctoral Degree. University of KwaZulu- Natal, Durban.Video surveillance systems have become prevale...
Surveillance systems such as object tracking and abandoned object detection systems typically rely o...
This thesis describes investigations into improvements in the field of automated people tracking usi...
BACKGROUND INTRODUCTION In this paper, we present an efficient framework to cognitively detect and t...
In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combi...
In this paper, a new approach to real-time people segmentation through processing images captured by...
Combining new, low-cost thermal infrared and time-of-flight range sensors provides new opportunities...
Recently, human detection has been used in various applications. Although visible light cameras are ...
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