Filling the gap in quality assessment of video object tracking

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Pedro Carvalho (Author) Other; Jaime S Cardoso (Author) FEUP; Luis Corte Real (Author) FEUP

Journal

Title: Image and Vision Computing

Vol. 30 No. 9

Pages: 630-640

ISSN: 0262-8856

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 7 Citations

ISI Web of Science

Scopus - 8 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Electrical engineering

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-002-5SC

DOI: 10.1016/j.imavis.2012.06.002

Abstract (EN): Current evaluation methods either rely heavily on reference information manually annotated or, by completely avoiding human input, provide only a rough evaluation of the performance of video object tracking algorithms. The main objective of this paper is to present a novel approach to the problem of evaluating video object tracking algorithms. It is proposed the use different types of reference information and the combination of heterogeneous metrics for the purpose of approximating the ideal error. This will enable a significant decrease of the required reference information, thus bridging the gap between metrics with different requirements concerning this type of data. As a result, evaluation frameworks can aggregate the benefits from individual approaches while overcoming their weaknesses, providing a flexible and powerful tool to assess and characterize the behavior of the tracking algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11