How Video Object Tracking Is Affected by In-capture Distortions?

Roger Gomez Nieto, Hernan Dario Benitez Restrepo, Ivan Cabezas

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

Video Object Tracking -VOT- in realistic scenarios is a difficult task. Image factors such as occlusion, clutter, confusion, object shape, and zooming, among others, have an impact on video tracker methods performance. While these conditions do affect trackers performance, there is not a clear distinction between the scene content challenges like occlusion and clutter, against challenges due to distortions generated by capture, compression, processing, and transmission of videos. This paper is concerned with the latter interpretation of quality as it affects VOT performance. The contribution of this paper is two-fold. We have constructed a database of 537 surveillance videos containing different levels of authentic distortions such as low exposure and out-of-focus. It is available at https://tinyurl.com/DSVD-Test. Based on this database, we assessed seven state-of-the-art trackers with the A-R plot performance measure. We demonstrate that in-capture distortions severely hamper VOT methods performance in a non intuitive way.

Idioma originalInglés
Título de la publicación alojada2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas2227-2231
Número de páginas5
ISBN (versión digital)9781479981311
DOI
EstadoPublicada - may. 2019
Evento44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, Reino Unido
Duración: 12 may. 201917 may. 2019

Serie de la publicación

NombreICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volumen2019-May
ISSN (versión impresa)1520-6149

Conferencia

Conferencia44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
País/TerritorioReino Unido
CiudadBrighton
Período12/05/1917/05/19

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