Visual tracking for video surveillance and vehicle safety
Conference contribution, 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.

Author

Zulfiqar Hasan Khan

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

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

p.71-

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Created

10/8/2017