Paper Info
Title
An Audio-Visual Database For Evaluating Person Tracking Algorithms
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.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1415385
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
audio signal processing,video tracking,glass,infrared,ground truth,audio recording,tracking,tracking system,trajectory,layout,face detection,motion tracking,face recognition,speaker recognition,pose estimation,testing
Computer science,Tracking system,Pose,Speaker recognition,Artificial intelligence,Face detection,Audio signal processing,Match moving,Facial recognition system,Computer vision,Pattern recognition,Algorithm,Video tracking,Database
Conference
ISSN
Citations 
PageRank 
1520-6149
10
1.06
References 
Authors
5
7
Name
Order
Citations
PageRank
M. Krinidis1101.06
G. Stamou2101.06
H. Teutsch3101.06
S. Spors4899.54
N. . Nikolaidis574388.73
R. Rabenstein6747.02
Pitas, I.754039.73