Maintaining Trajectories of Salient Objects for Robust Visual Tracking

Author

Filiz Bunyak, Missouri University of Science and TechnologyFollow
S. R. Subramanya, Missouri University of Science and Technology

Abstract

This paper presents a robust approach to track multiple objects for low resolution, far-field visual surveillance applications. Multiple moving objects are detected by utilizing an adaptive background model and tracked by resolving the correspondence between their trajectory segments using proximity and appearance similarity measures. a new confidence measure is assigned to each possible match between objects and this information is maintained by a graph structure. This graph is utilized to prune and refine the trajectories. Kalman filter is used to handle discontinuities and occlusions. Proposed approach handles problems such as spurious objects, fragmentation, shadow, clutter and occlusions. © Springer-Verlag Berlin Heidelberg 2005.

Recommended Citation

F. Bunyak and S. R. Subramanya, "Maintaining Trajectories of Salient Objects for Robust Visual Tracking," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3656 LNCS, pp. 820 - 827, Springer, Dec 2005.

The definitive version is available at https://doi.org/10.1007/11559573_100

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

International Standard Book Number (ISBN)

978-354029069-8

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Dec 2005