Can diversity amongst learners improve online object tracking?

Georg Nebehay; Walter Chibamu; Peter R. Lewis; Arjun Chandra; Roman Pflugfelder; Xin Yao

doi:10.1007/978-3-642-38067-9_19

Can diversity amongst learners improve online object tracking?

Georg Nebehay, Walter Chibamu, Peter R. Lewis, Arjun Chandra, Roman Pflugfelder, Xin Yao

Computer Science Research Group

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

We present a novel analysis of the state of the art in object tracking with respect to diversity found in its main component, an ensemble classifier that is updated in an online manner. We employ established measures for diversity and performance from the rich literature on ensemble classification and online learning, and present a detailed evaluation of diversity and performance on benchmark sequences in order to gain an insight into how the tracking performance can be improved.

Original language	English
Title of host publication	Multiple classifier systems
Subtitle of host publication	11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings
Editors	Zhi-Hua Zhou, Fabio Roli, Josef Kittler
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	212-223
Number of pages	12
ISBN (Electronic)	978-3-642-38067-9
ISBN (Print)	978-3-642-38066-2
DOIs	https://doi.org/10.1007/978-3-642-38067-9_19
Publication status	Published - 2013
Event	11th international workshop on Multiple Classifier Systems - Nanjing, China Duration: 15 May 2013 → 17 May 2013

Publication series

Name	Lecture notes in computer science
Publisher	Spinger
Volume	7872
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	11th international workshop on Multiple Classifier Systems
Abbreviated title	MCS 2013
Country/Territory	China
City	Nanjing
Period	15/05/13 → 17/05/13

Access to Document

10.1007/978-3-642-38067-9_19

Cite this

Nebehay, G., Chibamu, W., Lewis, P. R., Chandra, A., Pflugfelder, R., & Yao, X. (2013). Can diversity amongst learners improve online object tracking? In Z.-H. Zhou, F. Roli, & J. Kittler (Eds.), Multiple classifier systems: 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (pp. 212-223). (Lecture notes in computer science; Vol. 7872). Springer. https://doi.org/10.1007/978-3-642-38067-9_19

@inproceedings{0f1145dbf4c44b6cae1f7cdb960218fe,

title = "Can diversity amongst learners improve online object tracking?",

abstract = "We present a novel analysis of the state of the art in object tracking with respect to diversity found in its main component, an ensemble classifier that is updated in an online manner. We employ established measures for diversity and performance from the rich literature on ensemble classification and online learning, and present a detailed evaluation of diversity and performance on benchmark sequences in order to gain an insight into how the tracking performance can be improved.",

author = "Georg Nebehay and Walter Chibamu and Lewis, {Peter R.} and Arjun Chandra and Roman Pflugfelder and Xin Yao",

year = "2013",

doi = "10.1007/978-3-642-38067-9_19",

language = "English",

isbn = "978-3-642-38066-2",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "212--223",

editor = "Zhi-Hua Zhou and Fabio Roli and Josef Kittler",

booktitle = "Multiple classifier systems",

address = "Germany",

note = "11th international workshop on Multiple Classifier Systems, MCS 2013 ; Conference date: 15-05-2013 Through 17-05-2013",

}

Nebehay, G, Chibamu, W, Lewis, PR, Chandra, A, Pflugfelder, R & Yao, X 2013, Can diversity amongst learners improve online object tracking? in Z-H Zhou, F Roli & J Kittler (eds), Multiple classifier systems: 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings. Lecture notes in computer science, vol. 7872, Springer, Berlin (DE), pp. 212-223, 11th international workshop on Multiple Classifier Systems, Nanjing, China, 15/05/13. https://doi.org/10.1007/978-3-642-38067-9_19

Can diversity amongst learners improve online object tracking? / Nebehay, Georg; Chibamu, Walter; Lewis, Peter R. et al.
Multiple classifier systems: 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings. ed. / Zhi-Hua Zhou; Fabio Roli; Josef Kittler. Berlin (DE): Springer, 2013. p. 212-223 (Lecture notes in computer science; Vol. 7872).

Research output: Chapter in Book/Published conference output › Conference publication