Abstract. To provide in-time reactions to a large volume of surveil-lance data, uncertainty-enabled event reasoning frameworks for CCTV and sensor based intelligent surveillance system have been integrated to model and infer events of interest. However, most of the existing works do not consider decision making under uncertainty which is important for surveillance operators. In this paper, we extend an event reasoning framework for decision support, which enables our framework to predict, rank and alarm threats from multiple heterogeneous sources.
Abstract. Situation awareness (SA) has been considered as an important element to support emergency ...
The chapter is devoted to the development of an automatic knowledge-based information fusion system ...
The concepts of event and anomaly are important building blocks for developing a situational picture...
Abstract. In many CCTV and sensor network based intelligent surveil-lance systems, a number of attri...
Abstract. Three issues usually are associated with threat prevention intelligent surveillance system...
Contextual data streams monitoring plays an important role in the identification of abnormalities in...
In this paper, we propose a framework for the assessment, interpretation and understanding of situat...
International audienceIntroduction: Epidemiologists manage outbreak identification and confirmation ...
Abstract—Demand for bus surveillance is growing due to the increased threats of terrorist attack, va...
Advances in sensor technology will revolutionize the way that real-world events are collected and in...
Modern smart-surveillance applications are based on an increasingly large number of heterogeneous se...
The need for higher-level reasoning capabilities beyond low-level sensor abilities has prompted rese...
This paper presents a constraint-based approach for video event recognition with probabilistic reaso...
In recent years, several innovative security technologies have been developed. However, many of the ...
International audienceContext aware systems are using various sensing technologies in order to recog...
Abstract. Situation awareness (SA) has been considered as an important element to support emergency ...
The chapter is devoted to the development of an automatic knowledge-based information fusion system ...
The concepts of event and anomaly are important building blocks for developing a situational picture...
Abstract. In many CCTV and sensor network based intelligent surveil-lance systems, a number of attri...
Abstract. Three issues usually are associated with threat prevention intelligent surveillance system...
Contextual data streams monitoring plays an important role in the identification of abnormalities in...
In this paper, we propose a framework for the assessment, interpretation and understanding of situat...
International audienceIntroduction: Epidemiologists manage outbreak identification and confirmation ...
Abstract—Demand for bus surveillance is growing due to the increased threats of terrorist attack, va...
Advances in sensor technology will revolutionize the way that real-world events are collected and in...
Modern smart-surveillance applications are based on an increasingly large number of heterogeneous se...
The need for higher-level reasoning capabilities beyond low-level sensor abilities has prompted rese...
This paper presents a constraint-based approach for video event recognition with probabilistic reaso...
In recent years, several innovative security technologies have been developed. However, many of the ...
International audienceContext aware systems are using various sensing technologies in order to recog...
Abstract. Situation awareness (SA) has been considered as an important element to support emergency ...
The chapter is devoted to the development of an automatic knowledge-based information fusion system ...
The concepts of event and anomaly are important building blocks for developing a situational picture...
Add to ORKG