Visual Analysis for Wildlife Preserve based on Muti-systems

Lijing Lin; Min Lu; Guozheng Li; Chufan Lai; Ruike Jiang; Qiangqiang Liu; Xiaoru Yuan

doi:10.1109/VAST.2017.8585552

Visual Analysis for Wildlife Preserve based on Muti-systems

Lijing Lin, Min Lu, Guozheng Li, Chufan Lai, Ruike Jiang, Qiangqiang Liu, Xiaoru Yuan

Peking University

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

1 Citation (Scopus)

Abstract

In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.

Original language	English
Title of host publication	2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
Editors	Brian Fisher, Shixia Liu, Tobias Schreck
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	247-248
Number of pages	2
ISBN (Electronic)	9781538631638
DOIs	https://doi.org/10.1109/VAST.2017.8585552
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Phoenix, United States Duration: 1 Oct 2017 → 6 Oct 2017

Publication series

Name	2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings

Conference

Conference	2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
Country/Territory	United States
City	Phoenix
Period	1/10/17 → 6/10/17

Access to Document

10.1109/VAST.2017.8585552

Cite this

Lin, L., Lu, M., Li, G., Lai, C., Jiang, R., Liu, Q., & Yuan, X. (2017). Visual Analysis for Wildlife Preserve based on Muti-systems. In B. Fisher, S. Liu, & T. Schreck (Eds.), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings (pp. 247-248). Article 8585552 (2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAST.2017.8585552

Lin, Lijing ; Lu, Min ; Li, Guozheng et al. / Visual Analysis for Wildlife Preserve based on Muti-systems. 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings. editor / Brian Fisher ; Shixia Liu ; Tobias Schreck. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 247-248 (2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings).

@inproceedings{b217168aaa4b4fb2b4d6f46fabe3cc14,

title = "Visual Analysis for Wildlife Preserve based on Muti-systems",

abstract = "In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.",

author = "Lijing Lin and Min Lu and Guozheng Li and Chufan Lai and Ruike Jiang and Qiangqiang Liu and Xiaoru Yuan",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 ; Conference date: 01-10-2017 Through 06-10-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/VAST.2017.8585552",

language = "English",

series = "2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "247--248",

editor = "Brian Fisher and Shixia Liu and Tobias Schreck",

booktitle = "2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings",

address = "United States",

}

Lin, L, Lu, M, Li, G, Lai, C, Jiang, R, Liu, Q & Yuan, X 2017, Visual Analysis for Wildlife Preserve based on Muti-systems. in B Fisher, S Liu & T Schreck (eds), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings., 8585552, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 247-248, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, United States, 1/10/17. https://doi.org/10.1109/VAST.2017.8585552

Visual Analysis for Wildlife Preserve based on Muti-systems. / Lin, Lijing; Lu, Min; Li, Guozheng et al.
2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings. ed. / Brian Fisher; Shixia Liu; Tobias Schreck. Institute of Electrical and Electronics Engineers Inc., 2017. p. 247-248 8585552 (2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings).

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

TY - GEN

T1 - Visual Analysis for Wildlife Preserve based on Muti-systems

AU - Lin, Lijing

AU - Lu, Min

AU - Li, Guozheng

AU - Lai, Chufan

AU - Jiang, Ruike

AU - Liu, Qiangqiang

AU - Yuan, Xiaoru

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.

AB - In the Grand Challenge of IEEE VAST Challenge 2017, we explore the systems in each mini-challenge, and combine the discoveries logically to provide a comprehensive story happened in the wildlife preserve. In this report, we present technical details for the systems, in order to discuss how to discover the events, and how to combine them to construct an overall picture considering the additional information, newsletter, in the Grand Challenge.

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DO - 10.1109/VAST.2017.8585552

M3 - Conference contribution

AN - SCOPUS:85061041528

T3 - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings

SP - 247

EP - 248

BT - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings

A2 - Fisher, Brian

A2 - Liu, Shixia

A2 - Schreck, Tobias

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017

Y2 - 1 October 2017 through 6 October 2017

ER -

Lin L, Lu M, Li G, Lai C, Jiang R, Liu Q et al. Visual Analysis for Wildlife Preserve based on Muti-systems. In Fisher B, Liu S, Schreck T, editors, 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 247-248. 8585552. (2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings). doi: 10.1109/VAST.2017.8585552

Visual Analysis for Wildlife Preserve based on Muti-systems

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