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An offline bidirectional tracking scheme. / Caljon, Tom; Enescu, Valentin; Schelkens, Peter; Sahli, Hichem.

Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium. Vol. 3708 Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, ., 2005. p. 587-594 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Caljon, T, Enescu, V, Schelkens, P & Sahli, H 2005, An offline bidirectional tracking scheme. in Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium. vol. 3708, Lecture Notes in Computer Science, Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, ., pp. 587-594, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.

APA

Caljon, T., Enescu, V., Schelkens, P., & Sahli, H. (2005). An offline bidirectional tracking scheme. In Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium (Vol. 3708, pp. 587-594). (Lecture Notes in Computer Science). Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, ..

Vancouver

Caljon T, Enescu V, Schelkens P, Sahli H. An offline bidirectional tracking scheme. In Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium. Vol. 3708. Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, . 2005. p. 587-594. (Lecture Notes in Computer Science).

Author

Caljon, Tom ; Enescu, Valentin ; Schelkens, Peter ; Sahli, Hichem. / An offline bidirectional tracking scheme. Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium. Vol. 3708 Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, ., 2005. pp. 587-594 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{775a480c053b48839d4d05dad808993e,
title = "An offline bidirectional tracking scheme",
abstract = "A generic bi-directional scheme is proposed that robustifies the estimation of the maximum-a-posteriori (MAP) sequence of states of a visual object. It enables creative, non-technical users to obtain the path of interesting objects in offline available video material, which can then be used to create interactive movies. To robustify against tracker failure the proposed scheme merges the filtering distributions of a forward tracking particle filter and a backward tracking particle filter at some timesteps, using a reliability-based voting scheme such as in democratic integration. The MAP state sequence is obtained using the Viterbi algorithm on reduced state sets per timestep and is interpolated linearly where tracking failure is suspected. The presented scheme is generic, simple and efficient and shows good results for a color-based particle filter.",
keywords = "particle filtering, object tracking",
author = "Tom Caljon and Valentin Enescu and Peter Schelkens and Hichem Sahli",
note = "Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, .",
year = "2005",
month = "8",
day = "20",
language = "English",
isbn = "3-540-29032-X",
volume = "3708",
series = "Lecture Notes in Computer Science",
publisher = "Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, .",
pages = "587--594",
booktitle = "Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium",

}

RIS

TY - GEN

T1 - An offline bidirectional tracking scheme

AU - Caljon, Tom

AU - Enescu, Valentin

AU - Schelkens, Peter

AU - Sahli, Hichem

N1 - Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, .

PY - 2005/8/20

Y1 - 2005/8/20

N2 - A generic bi-directional scheme is proposed that robustifies the estimation of the maximum-a-posteriori (MAP) sequence of states of a visual object. It enables creative, non-technical users to obtain the path of interesting objects in offline available video material, which can then be used to create interactive movies. To robustify against tracker failure the proposed scheme merges the filtering distributions of a forward tracking particle filter and a backward tracking particle filter at some timesteps, using a reliability-based voting scheme such as in democratic integration. The MAP state sequence is obtained using the Viterbi algorithm on reduced state sets per timestep and is interpolated linearly where tracking failure is suspected. The presented scheme is generic, simple and efficient and shows good results for a color-based particle filter.

AB - A generic bi-directional scheme is proposed that robustifies the estimation of the maximum-a-posteriori (MAP) sequence of states of a visual object. It enables creative, non-technical users to obtain the path of interesting objects in offline available video material, which can then be used to create interactive movies. To robustify against tracker failure the proposed scheme merges the filtering distributions of a forward tracking particle filter and a backward tracking particle filter at some timesteps, using a reliability-based voting scheme such as in democratic integration. The MAP state sequence is obtained using the Viterbi algorithm on reduced state sets per timestep and is interpolated linearly where tracking failure is suspected. The presented scheme is generic, simple and efficient and shows good results for a color-based particle filter.

KW - particle filtering

KW - object tracking

M3 - Conference paper

SN - 3-540-29032-X

VL - 3708

T3 - Lecture Notes in Computer Science

SP - 587

EP - 594

BT - Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium

PB - Lecture Notes in Computer Science, Nr. 3708, pp. 587-594, .

ER -

ID: 1470854