Search for dissertations about: "maritime surveillance"

Showing result 1 - 5 of 12 swedish dissertations containing the words maritime surveillance.

2. 1. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications

   Author : Rikard Laxhammar; Göran Falkman; Pontus Svenson; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; conformal prediction; trajectory analysis; video surveillance; maritime surveillance; Technology; Teknik; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   Abstract : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. READ MORE

4. 2. Anomaly detection in the surveillance domain

   Author : Christoffer Brax; Lars Niklasson; Göran Falkman; Dimiter Driankov; Henric Johnson; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Anomaly Detection; Information Fusion; Visual Surveillance; Maritime Domain Awareness; Datalogi; Computer and Systems Science; Teknik;

   Abstract : In the post September 11 era, the demand for security has increased in virtually all parts of the society. The need for increased security originates from the emergence of new threats which differ from the traditional ones in such a way that they cannot be easily defined and are sometimes unknown or hidden in the “noise” of daily life. READ MORE

5. 3. Visual analytics for maritime anomaly detection

   Author : Maria Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Technology;

   Abstract : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE

6. 4. Anomaly detection in trajectory data for surveillance applications

   Author : Rikard Laxhammar; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; trajectory analysis; statistical methods; conformal prediction; automated surveillance; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Teknik;

   Abstract : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. READ MORE

7. 5. Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation

   Author : Rohan Kulkarni; Mats Berg; Ulf Carlsson; Alireza Qazizadeh; Sebastian Stichel; Jordi Viñolas; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Active preventive maintenance; intelligent fault diagnosis; anomaly detection; vehicle fleet; track irregularities; vehicle hunting; wheel-rail interface.; Farkostteknik; Vehicle and Maritime Engineering;

   Abstract : The railway sector’s reliability, availability, maintainability, and safety (RAMS) can significantly improve by adopting condition based maintenance (CBM). In the CBM regime, maintenance decisions are driven by condition monitoring (CM) of the asset. READ MORE