DocumentCode
2825624
Title
Estimating Tracking Sources and Sinks
Author
Stauffer, Chris
Author_Institution
MIT
Volume
4
fYear
2003
fDate
16-22 June 2003
Firstpage
35
Lastpage
35
Abstract
When tracking in a particular environment, objects tend to appear and disappear at certain locations. These locations may correspond to doors, garages, tunnel entrances, or even the edge of a camera view. A tracking system with knowledge of these locations is capable of improved initialization of tracking sequences, reconstitution of broken tracking sequences, and determination of tracking sequence termination. Further, knowledge of these locations is useful for activity-level descriptions of tracking sequences and for understanding relationships between non-overlapping camera views. This paper introduces a method for simultaneously solving these coupled problems: inferring the parameters of a source and sink model for a scene; and fixing broken tracking sequences and other tracking failures. A model selection criterion is also explained which allows determination of the number of sources and sinks in an environment. Results in multiple environments illustrate the effectiveness of this method.
Keywords
Artificial intelligence; Cameras; Computer vision; Conferences; Humans; Layout; Lenses; Pattern recognition; Position measurement; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshop, 2003. CVPRW '03. Conference on
Conference_Location
Madison, Wisconsin, USA
ISSN
1063-6919
Print_ISBN
0-7695-1900-8
Type
conf
DOI
10.1109/CVPRW.2003.10036
Filename
4624294
Link To Document