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

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

4 Citations (Scopus)

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. © Springer-Verlag 2013.

Original language	English
Title of host publication	Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings
Editors	Zhi-Hua ZHOU, Fabio ROLI, Josef KITTLER
Publisher	Springer
Pages	212-223
Number of pages	12
ISBN (Electronic)	9783642380679
ISBN (Print)	9783642380662
DOIs	https://doi.org/10.1007/978-3-642-38067-9_19
Publication status	Published - 2013
Externally published	Yes
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	Springer
Volume	7872
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Publisher	Springer
ISSN (Print)	3004-9946
ISSN (Electronic)	3004-9954

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), (Image Processing, Computer Vision, Pattern Recognition, and Graphics). Springer. https://doi.org/10.1007/978-3-642-38067-9_19

NEBEHAY, Georg ; CHIBAMU, Walter ; LEWIS, Peter R. et al. / Can diversity amongst learners improve online object tracking?. Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings. editor / Zhi-Hua ZHOU ; Fabio ROLI ; Josef KITTLER. Springer, 2013. pp. 212-223 (Lecture Notes in Computer Science). (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

@inproceedings{057d941dec68409d8a7fb8483b09701f,

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. {\textcopyright} Springer-Verlag 2013.",

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 = "9783642380662",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "212--223",

editor = "ZHOU, {Zhi-Hua } and ROLI, {Fabio } and KITTLER, {Josef }",

booktitle = "Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings",

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, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer, 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. Springer, 2013. p. 212-223 (Lecture Notes in Computer Science; Vol. 7872), (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review