Name
Abstract | ||
|---|---|---|
Theft of cargo from a truck or attacks against the driver are threats hindering the day to day operations of trucking companies. In this work we consider a system, which is using surveillance cameras mounted on the truck to provide an early warning for such evolving threats. Low-level processing involves tracking people and calculating motion features. Intermediate-level processing provides kinematics and localisation, activity descriptions and threat stage estimates. At the high level, we compare threat detection performed with a statistical trained SVM based classifier against a rule based system. Results are promising, and show that the best system depends on the scenario. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/AVSS.2014.6918697 | Advanced Video and Signal Based Surveillance |
Keywords | Field | DocType |
alarm systems,image classification,image motion analysis,knowledge based systems,object tracking,statistical analysis,support vector machines,video cameras,video surveillance,Intermediate-level processing,activity descriptions,cargo theft,early warning,kinematics,localisation,low-level processing,motion features,people tracking,rule based system,statistical trained SVM based classifier,surveillance cameras,threat detection,threat stage,truck,trucking companies | Truck,Warning system,Computer vision,Signal processing,Rule-based system,Computer science,Support vector machine,Image processing,Artificial intelligence,Classifier (linguistics),Hierarchy,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gertjan J. Burghouts | 1 | 679 | 30.31 |
| Paulien van Slingerland | 2 | 15 | 1.71 |
| R. J. M. ten Hove | 3 | 2 | 0.72 |
| Richard J. M. den Hollander | 4 | 26 | 4.21 |
| Klamer Schutte | 5 | 173 | 18.26 |
| van Slingerland, P. | 6 | 0 | 0.34 |
| den Hollander, R.J.M. | 7 | 0 | 0.34 |