Robust human motion detection via fuzzy set based image understanding

Qin Li; Jia You

doi:10.1117/12.642253

Robust human motion detection via fuzzy set based image understanding

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents an image understanding approach to monitor human movement and identify the abnormal circumstance by robust motion detection for the care of the elderly in a home-based environment. In contrast to the conventional approaches which apply either a single feature extraction scheme or a fixed object model for motion detection and tracking, we introduce a multiple feature extraction scheme for robust motion detection. The proposed algorithms include 1) multiple image feature extraction including the fuzzy compactness based detection of interesting points and fuzzy blobs, 2) adaptive image segmentation via multiple features, 3) Hierarchical motion detection, 4) a flexible model of human motion adapted in both rigid and non-rigid conditions, and 5) Fuzzy decision making via multiple features.

Original language	English
Title of host publication	Image Processing
Subtitle of host publication	Algorithms and Systems, Neural Networks, and Machine Learning - Proceedings of SPIE-IS and T Electronic Imaging
Volume	6064
DOIs	https://doi.org/10.1117/12.642253
Publication status	Published - 17 Apr 2006
Event	Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning - San Jose, CA, United States Duration: 16 Jan 2006 → 18 Jan 2006

Conference

Conference	Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning
Country/Territory	United States
City	San Jose, CA
Period	16/01/06 → 18/01/06

Keywords

Fussy Set Theory
Fuzzy Compactness
Hierarchical Detection
Human Motion Detection
Image Understanding

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

More information

10.1117/12.642253

Cite this

@inproceedings{e20ff0b25c7643e78d669c68b0922a6a,

title = "Robust human motion detection via fuzzy set based image understanding",

abstract = "This paper presents an image understanding approach to monitor human movement and identify the abnormal circumstance by robust motion detection for the care of the elderly in a home-based environment. In contrast to the conventional approaches which apply either a single feature extraction scheme or a fixed object model for motion detection and tracking, we introduce a multiple feature extraction scheme for robust motion detection. The proposed algorithms include 1) multiple image feature extraction including the fuzzy compactness based detection of interesting points and fuzzy blobs, 2) adaptive image segmentation via multiple features, 3) Hierarchical motion detection, 4) a flexible model of human motion adapted in both rigid and non-rigid conditions, and 5) Fuzzy decision making via multiple features.",

keywords = "Fussy Set Theory, Fuzzy Compactness, Hierarchical Detection, Human Motion Detection, Image Understanding",

author = "Qin Li and Jia You",

year = "2006",

month = apr,

day = "17",

doi = "10.1117/12.642253",

language = "English",

isbn = "0819461040",

volume = "6064",

booktitle = "Image Processing",

note = "Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning ; Conference date: 16-01-2006 Through 18-01-2006",

}

Li, Q & You, J 2006, Robust human motion detection via fuzzy set based image understanding. in Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning - Proceedings of SPIE-IS and T Electronic Imaging. vol. 6064, 60640L, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, San Jose, CA, United States, 16/01/06. https://doi.org/10.1117/12.642253

Robust human motion detection via fuzzy set based image understanding. / Li, Qin; You, Jia.
Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning - Proceedings of SPIE-IS and T Electronic Imaging. Vol. 6064 2006. 60640L.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Robust human motion detection via fuzzy set based image understanding

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AU - You, Jia

PY - 2006/4/17

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N2 - This paper presents an image understanding approach to monitor human movement and identify the abnormal circumstance by robust motion detection for the care of the elderly in a home-based environment. In contrast to the conventional approaches which apply either a single feature extraction scheme or a fixed object model for motion detection and tracking, we introduce a multiple feature extraction scheme for robust motion detection. The proposed algorithms include 1) multiple image feature extraction including the fuzzy compactness based detection of interesting points and fuzzy blobs, 2) adaptive image segmentation via multiple features, 3) Hierarchical motion detection, 4) a flexible model of human motion adapted in both rigid and non-rigid conditions, and 5) Fuzzy decision making via multiple features.

AB - This paper presents an image understanding approach to monitor human movement and identify the abnormal circumstance by robust motion detection for the care of the elderly in a home-based environment. In contrast to the conventional approaches which apply either a single feature extraction scheme or a fixed object model for motion detection and tracking, we introduce a multiple feature extraction scheme for robust motion detection. The proposed algorithms include 1) multiple image feature extraction including the fuzzy compactness based detection of interesting points and fuzzy blobs, 2) adaptive image segmentation via multiple features, 3) Hierarchical motion detection, 4) a flexible model of human motion adapted in both rigid and non-rigid conditions, and 5) Fuzzy decision making via multiple features.

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KW - Fuzzy Compactness

KW - Hierarchical Detection

KW - Human Motion Detection

KW - Image Understanding

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M3 - Conference article published in proceeding or book

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SN - 9780819461049

VL - 6064

BT - Image Processing

T2 - Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning

Y2 - 16 January 2006 through 18 January 2006

ER -

Robust human motion detection via fuzzy set based image understanding

Abstract

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Keywords

ASJC Scopus subject areas

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