Automatic surveillance analyzer using trajectory and body-based modeling

Weilun Lao; Jungong Han; P.H.N. With, de

doi:10.1109/ICCE.2009.5012362

Automatic surveillance analyzer using trajectory and body-based modeling

Weilun Lao, Jungong Han, P.H.N. With, de

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

4 Citations (Scopus)

188 Downloads (Pure)

Abstract

With the continuous improvements in computer-vision techniques, automatic low-cost video surveillance gradually emerges for consumer applications. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events. Our analyzer employs visual cues to track moving persons and classify human-body postures from a monocular video. It consists of three processing steps: (1) multi-person detection, (2) persons tracking with trajectory estimation, and (3) posture classification. We show attractive experimental results, highlighting the system efficiency and classification capability.

Original language	English
Title of host publication	Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	7.1-5-1-2
ISBN (Electronic)	978-1-4244-2559-4
ISBN (Print)	978-1-4244-4701-5
DOIs	https://doi.org/10.1109/ICCE.2009.5012362
Publication status	Published - 2009
Event	2009 IEEE International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, United States Duration: 4 Jan 2009 → 10 Jan 2009

Conference

Conference	2009 IEEE International Conference on Consumer Electronics, ICCE 2009
Abbreviated title	ICCE 2009
Country/Territory	United States
City	Las Vegas
Period	4/01/09 → 10/01/09

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10.1109/ICCE.2009.5012362

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title = "Automatic surveillance analyzer using trajectory and body-based modeling",

abstract = "With the continuous improvements in computer-vision techniques, automatic low-cost video surveillance gradually emerges for consumer applications. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events. Our analyzer employs visual cues to track moving persons and classify human-body postures from a monocular video. It consists of three processing steps: (1) multi-person detection, (2) persons tracking with trajectory estimation, and (3) posture classification. We show attractive experimental results, highlighting the system efficiency and classification capability.",

author = "Weilun Lao and Jungong Han and \{With, de\}, P.H.N.",

year = "2009",

doi = "10.1109/ICCE.2009.5012362",

language = "English",

isbn = "978-1-4244-4701-5",

pages = "7.1--5--1--2",

booktitle = "Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2009 IEEE International Conference on Consumer Electronics, ICCE 2009, ICCE 2009 ; Conference date: 04-01-2009 Through 10-01-2009",

}

Lao, W, Han, J & With, de, PHN 2009, Automatic surveillance analyzer using trajectory and body-based modeling. in Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009. Institute of Electrical and Electronics Engineers, Piscataway, pp. 7.1-5-1-2, 2009 IEEE International Conference on Consumer Electronics, ICCE 2009, Las Vegas, Nevada, United States, 4/01/09. https://doi.org/10.1109/ICCE.2009.5012362

Automatic surveillance analyzer using trajectory and body-based modeling. / Lao, Weilun; Han, Jungong; With, de, P.H.N.
Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009. Piscataway: Institute of Electrical and Electronics Engineers, 2009. p. 7.1-5-1-2.

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

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AU - Han, Jungong

AU - With, de, P.H.N.

PY - 2009

Y1 - 2009

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AB - With the continuous improvements in computer-vision techniques, automatic low-cost video surveillance gradually emerges for consumer applications. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events. Our analyzer employs visual cues to track moving persons and classify human-body postures from a monocular video. It consists of three processing steps: (1) multi-person detection, (2) persons tracking with trajectory estimation, and (3) posture classification. We show attractive experimental results, highlighting the system efficiency and classification capability.

U2 - 10.1109/ICCE.2009.5012362

DO - 10.1109/ICCE.2009.5012362

M3 - Conference contribution

SN - 978-1-4244-4701-5

SP - 7.1-5-1-2

BT - Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2009 IEEE International Conference on Consumer Electronics, ICCE 2009

Y2 - 4 January 2009 through 10 January 2009

ER -

Automatic surveillance analyzer using trajectory and body-based modeling

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