An audio-visual database for evaluating person tracking algorithms

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Krindis M, Stamou G, Teutsch H, Spors S, Nikolaidis N, Rabenstein R, Pitas I
Publication year: 2005
ISBN: 9780780388741


Abstract


This paper presents an audio-visual database that can be used as a reference database for testing and evaluation of video, audio or joint audio-visual person tracking algorithms, as well as speaker localization methods. Additional possible uses include the testing of face detection and pose estimation algorithms. A number of different scenes are included in the database, ranging from simple to complex scenes that can challenge existing algorithms. They include different subjects, with appearances that can cause problems to video tracking algorithms, (e.g. facial features such as beards, glasses, etc.), optimal and artificially created sub-optimal lighting conditions, subject movement based on simple as well as random motion trajectories, different distances from the camera/microphones and occlusion. The database incorporates ground truth data (3-D position in time) originating from a commercially available 4-camera infrared (IR) tracking system. Examples of how the database can be used to evaluate video and audio tracking algorithms are also provided. © 2005 IEEE.



FAU Authors / FAU Editors

Rabenstein, Rudolf Prof. Dr.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Krindis, M., Stamou, G., Teutsch, H., Spors, S., Nikolaidis, N., Rabenstein, R., & Pitas, I. (2005). An audio-visual database for evaluating person tracking algorithms. Philadelphia, PA, US.

MLA:
Krindis, M., et al. "An audio-visual database for evaluating person tracking algorithms." Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA 2005.

BibTeX: 

Last updated on 2018-23-12 at 20:50