Visual tracking extensions for accurate target recovery in low frame rate videos

Yoav Liberman; Adi Perry

doi:10.1007/978-3-319-14249-4_13

Visual tracking extensions for accurate target recovery in low frame rate videos

Yoav Liberman, Adi Perry

Elbit Systems Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Visual tracking in low frame rate videos has many inherent difficulties for achieving accurate target recovery, such as occlusions, abrupt motions and rapid pose changes. Thus, conventional tracking methods cannot be applied reliably. In this paper, we offer a new scheme for tracking objects in low frame rate videos. We present a method of integrating multiple metrics for template matching, as an extension for the particle filter. By inspecting a large data set of videos for tracking, we show that our method not only outperforms other related benchmarks in the field, but it also achieves better results both visually and quantitatively, once compared to actual ground truth data.

Original language	English
Title of host publication	Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings
Editors	George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven M. Drucker, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, Mark Carlson
Publisher	Springer Verlag
Pages	128-139
Number of pages	12
ISBN (Electronic)	9783319142487
DOIs	https://doi.org/10.1007/978-3-319-14249-4_13
State	Published - 2014
Externally published	Yes
Event	10th International Symposium on Visual Computing, ISVC 2014 - Las Vegas, United States Duration: 8 Dec 2014 → 10 Dec 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8887
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Symposium on Visual Computing, ISVC 2014
Country/Territory	United States
City	Las Vegas
Period	8/12/14 → 10/12/14

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

Access to Document

10.1007/978-3-319-14249-4_13

Cite this

Liberman, Y., & Perry, A. (2014). Visual tracking extensions for accurate target recovery in low frame rate videos. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. McMahan, J. Jerald, H. Zhang, S. M. Drucker, K. Chandra, E. C. Maha, Z. Deng, & M. Carlson (Eds.), Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings (pp. 128-139). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8887). Springer Verlag. https://doi.org/10.1007/978-3-319-14249-4_13

Liberman, Yoav ; Perry, Adi. / Visual tracking extensions for accurate target recovery in low frame rate videos. Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings. editor / George Bebis ; Richard Boyle ; Bahram Parvin ; Darko Koracin ; Ryan McMahan ; Jason Jerald ; Hui Zhang ; Steven M. Drucker ; Kambhamettu Chandra ; El Choubassi Maha ; Zhigang Deng ; Mark Carlson. Springer Verlag, 2014. pp. 128-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Visual tracking in low frame rate videos has many inherent difficulties for achieving accurate target recovery, such as occlusions, abrupt motions and rapid pose changes. Thus, conventional tracking methods cannot be applied reliably. In this paper, we offer a new scheme for tracking objects in low frame rate videos. We present a method of integrating multiple metrics for template matching, as an extension for the particle filter. By inspecting a large data set of videos for tracking, we show that our method not only outperforms other related benchmarks in the field, but it also achieves better results both visually and quantitatively, once compared to actual ground truth data.",

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Liberman, Y & Perry, A 2014, Visual tracking extensions for accurate target recovery in low frame rate videos. in G Bebis, R Boyle, B Parvin, D Koracin, R McMahan, J Jerald, H Zhang, SM Drucker, K Chandra, EC Maha, Z Deng & M Carlson (eds), Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8887, Springer Verlag, pp. 128-139, 10th International Symposium on Visual Computing, ISVC 2014, Las Vegas, United States, 8/12/14. https://doi.org/10.1007/978-3-319-14249-4_13

Visual tracking extensions for accurate target recovery in low frame rate videos. / Liberman, Yoav; Perry, Adi.
Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings. ed. / George Bebis; Richard Boyle; Bahram Parvin; Darko Koracin; Ryan McMahan; Jason Jerald; Hui Zhang; Steven M. Drucker; Kambhamettu Chandra; El Choubassi Maha; Zhigang Deng; Mark Carlson. Springer Verlag, 2014. p. 128-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8887).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Liberman Y, Perry A. Visual tracking extensions for accurate target recovery in low frame rate videos. In Bebis G, Boyle R, Parvin B, Koracin D, McMahan R, Jerald J, Zhang H, Drucker SM, Chandra K, Maha EC, Deng Z, Carlson M, editors, Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings. Springer Verlag. 2014. p. 128-139. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-14249-4_13

Visual tracking extensions for accurate target recovery in low frame rate videos

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