Visual tracking for video surveillance and vehicle safety
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 2010

This paper proposes a robust and efficient visual tracking method from videos. Potential applications, among others, include traffic safety for vehicles and freights, for video surveillance in airports, schools and banks. The proposed tracking scheme exploits both local point features and global appearance distributions of target objects. A novel online learning method is also employed to dynamically update the local features and global distributions of nonstationary visual objects. Our experimental results have demonstrated that the proposed scheme is very robust in tracking visual objects through complex video scenarios containing long-term partial occlusions, object intersections, severely deformed objects, objects with pose changes, with fast and sudden motions, and with cluttered background. Comparisons with two existing state-of-the-art methods have shown marked improvement.


Zulfiqar Hasan Khan

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Irene Yu-Hua Gu

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

1st National Symposium on Technology and Methodology for Security and Crisis Management (TAMSEC 2010), Linköping, Sweden




Datorseende och robotik (autonoma system)