Static object tracking in road panoramic videos

Zhong Zhou; Ben Niu; Chen Ke; Wei Wu

doi:10.1109/ISM.2010.18

Static object tracking in road panoramic videos

Zhong Zhou^*
, Ben Niu
, Chen Ke
, Wei Wu

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

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

4 Scopus citations

Abstract

In panoramic videos, the object movement between adjacent side images leads to deformation and discontinuity, which makes the traditional video tracking approaches insufficient. An effective static object tracking algorithm is proposed in this paper to resolve the tracking problems from the deformation and discontinuity in cubic panorama. The algorithm extends the relevant side images with boundary consistency, and then conducts a background eliminated mean-shift algorithm to track objects on the extended images. Experiment results show that the algorithm can track static objects correctly in reasonable situations in real-time.

Original language	English
Title of host publication	Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010
Pages	57-64
Number of pages	8
DOIs	https://doi.org/10.1109/ISM.2010.18
State	Published - 2010
Event	2010 IEEE International Symposium on Multimedia, ISM 2010 - Taichung, Taiwan, Province of China Duration: 13 Dec 2010 → 15 Dec 2010

Publication series

Name	Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010

Conference

Conference	2010 IEEE International Symposium on Multimedia, ISM 2010
Country/Territory	Taiwan, Province of China
City	Taichung
Period	13/12/10 → 15/12/10

Keywords

Mean-shift
Object tracking
Panorama expansion
Panoramic video

Access to Document

10.1109/ISM.2010.18

Cite this

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title = "Static object tracking in road panoramic videos",

abstract = "In panoramic videos, the object movement between adjacent side images leads to deformation and discontinuity, which makes the traditional video tracking approaches insufficient. An effective static object tracking algorithm is proposed in this paper to resolve the tracking problems from the deformation and discontinuity in cubic panorama. The algorithm extends the relevant side images with boundary consistency, and then conducts a background eliminated mean-shift algorithm to track objects on the extended images. Experiment results show that the algorithm can track static objects correctly in reasonable situations in real-time.",

keywords = "Mean-shift, Object tracking, Panorama expansion, Panoramic video",

author = "Zhong Zhou and Ben Niu and Chen Ke and Wei Wu",

year = "2010",

doi = "10.1109/ISM.2010.18",

language = "英语",

isbn = "9780769542171",

series = "Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010",

pages = "57--64",

booktitle = "Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010",

note = "2010 IEEE International Symposium on Multimedia, ISM 2010 ; Conference date: 13-12-2010 Through 15-12-2010",

}

Zhou, Z, Niu, B, Ke, C & Wu, W 2010, Static object tracking in road panoramic videos. in Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010., 5693823, Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010, pp. 57-64, 2010 IEEE International Symposium on Multimedia, ISM 2010, Taichung, Taiwan, Province of China, 13/12/10. https://doi.org/10.1109/ISM.2010.18

TY - GEN

T1 - Static object tracking in road panoramic videos

AU - Zhou, Zhong

AU - Niu, Ben

AU - Ke, Chen

AU - Wu, Wei

PY - 2010

Y1 - 2010

N2 - In panoramic videos, the object movement between adjacent side images leads to deformation and discontinuity, which makes the traditional video tracking approaches insufficient. An effective static object tracking algorithm is proposed in this paper to resolve the tracking problems from the deformation and discontinuity in cubic panorama. The algorithm extends the relevant side images with boundary consistency, and then conducts a background eliminated mean-shift algorithm to track objects on the extended images. Experiment results show that the algorithm can track static objects correctly in reasonable situations in real-time.

AB - In panoramic videos, the object movement between adjacent side images leads to deformation and discontinuity, which makes the traditional video tracking approaches insufficient. An effective static object tracking algorithm is proposed in this paper to resolve the tracking problems from the deformation and discontinuity in cubic panorama. The algorithm extends the relevant side images with boundary consistency, and then conducts a background eliminated mean-shift algorithm to track objects on the extended images. Experiment results show that the algorithm can track static objects correctly in reasonable situations in real-time.

KW - Mean-shift

KW - Object tracking

KW - Panorama expansion

KW - Panoramic video

UR - https://www.scopus.com/pages/publications/79951749702

U2 - 10.1109/ISM.2010.18

DO - 10.1109/ISM.2010.18

M3 - 会议稿件

AN - SCOPUS:79951749702

SN - 9780769542171

T3 - Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010

SP - 57

EP - 64

BT - Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010

T2 - 2010 IEEE International Symposium on Multimedia, ISM 2010

Y2 - 13 December 2010 through 15 December 2010

ER -

Static object tracking in road panoramic videos

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