Tracking of Individuals in Very Long Video Sequences

Preben Fihl, Rasmus Corlin, Sangho Park, Thomas B. Moeslund, Mohan M. Trivedi

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)
305 Downloads (Pure)

Abstract

In this paper we present an approach for automatically detecting and tracking humans in very long video sequences. The detection is based on background subtraction using a multi-mode Codeword method. We enhance this method both in terms of representation and in terms of automatically updating the background allowing for handling gradual and rapid changes. Tracking is conducted by building appearance-based models and matching these over time. Tests show promising detection and tracking results in a ten hour video sequence.
Original languageEnglish
Title of host publicationAdvances in Visual Computing
Number of pages10
VolumeSpringer
PublisherSpringer
Publication date2006
Pages60-69
ISBN (Print)9783540486282
Publication statusPublished - 2006
Event2nd International Symposium on Visual Computing - Lake Tahoe, United States
Duration: 6 Nov 20068 Nov 2006
Conference number: 2

Conference

Conference2nd International Symposium on Visual Computing
Number2
CountryUnited States
CityLake Tahoe
Period06/11/200608/11/2006
SeriesLecture Notes in Computer Science
Number1
Volume4291/2006
ISSN0302-9743

Cite this

Fihl, P., Corlin, R., Park, S., Moeslund, T. B., & Trivedi, M. M. (2006). Tracking of Individuals in Very Long Video Sequences. In Advances in Visual Computing (Vol. Springer, pp. 60-69). Springer. Lecture Notes in Computer Science, No. 1, Vol.. 4291/2006
Fihl, Preben ; Corlin, Rasmus ; Park, Sangho ; Moeslund, Thomas B. ; Trivedi, Mohan M. / Tracking of Individuals in Very Long Video Sequences. Advances in Visual Computing. Vol. Springer Springer, 2006. pp. 60-69 (Lecture Notes in Computer Science; No. 1, Vol. 4291/2006).
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Fihl, P, Corlin, R, Park, S, Moeslund, TB & Trivedi, MM 2006, Tracking of Individuals in Very Long Video Sequences. in Advances in Visual Computing. vol. Springer, Springer, Lecture Notes in Computer Science, no. 1, vol. 4291/2006, pp. 60-69, Lake Tahoe, United States, 06/11/2006.

Tracking of Individuals in Very Long Video Sequences. / Fihl, Preben; Corlin, Rasmus; Park, Sangho; Moeslund, Thomas B.; Trivedi, Mohan M.

Advances in Visual Computing. Vol. Springer Springer, 2006. p. 60-69 (Lecture Notes in Computer Science; No. 1, Vol. 4291/2006).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - In this paper we present an approach for automatically detecting and tracking humans in very long video sequences. The detection is based on background subtraction using a multi-mode Codeword method. We enhance this method both in terms of representation and in terms of automatically updating the background allowing for handling gradual and rapid changes. Tracking is conducted by building appearance-based models and matching these over time. Tests show promising detection and tracking results in a ten hour video sequence.

M3 - Article in proceeding

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Fihl P, Corlin R, Park S, Moeslund TB, Trivedi MM. Tracking of Individuals in Very Long Video Sequences. In Advances in Visual Computing. Vol. Springer. Springer. 2006. p. 60-69. (Lecture Notes in Computer Science; No. 1, Vol. 4291/2006).