Title

Person And Vehicle Tracking In Surveillance Video

Abstract

This evaluation for person and vehicle tracking in surveillance presented some new challenges. The dataset was large and very high-quality, but with difficult scene properties involving illumination changes, unusual lighting conditions, and complicated occlusion of objects. Since this is a well-researched scenario [1], our submission was based primarily on our existing projects for automated object detection and tracking in surveillance. We also added several new features that are practical improvements for handling the difficulties of this dataset. © 2008 Springer-Verlag Berlin Heidelberg.

Publication Date

7-28-2008

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

4625 LNCS

Number of Pages

174-178

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-540-68585-2_14

Socpus ID

47749119550 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/47749119550

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