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Proceedings Paper

Robust human motion detection via fuzzy-set-based image understanding
Author(s): Qin Li; Jane You
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Paper 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.

Paper Details

Date Published: 16 February 2006
PDF: 9 pages
Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640L (16 February 2006); doi: 10.1117/12.642253
Show Author Affiliations
Qin Li, Hong Kong Polytechnic Univ. (Hong Kong China)
Jane You, Hong Kong Polytechnic Univ. (Hong Kong China)


Published in SPIE Proceedings Vol. 6064:
Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning
Nasser M. Nasrabadi; Syed A. Rizvi; Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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