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Proceedings Paper

Multi-level human motion analysis for surveillance applications
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Paper Abstract

In this paper, we study a flexible framework for semantic analysis of human motion from a monocular surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. As a first contribution, we propose a flexible framework that enables automatic analysis of human behavior and semantic events. It can be utilized in surveillance applications with four-level analysis results. The second contribution is the introduction of a 3-D reconstruction scheme for scene understanding. The total framework consists of four processing levels: (1) a pre-processing level including background modeling and multiple-person detection, (2) an object-based level performing trajectory estimation and posture classification, (3) an event-based level for semantic analysis and (4) a visualization level including camera calibration and 3-D scene reconstruction. Our proposed framework was evaluated and proved its effectiveness as it achieves a near real-time performance (6-8 frames/second).

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72570C (19 January 2009); doi: 10.1117/12.807320
Show Author Affiliations
Weilun Lao, Eindhoven Univ. of Technology (Netherlands)
Jungong Han, Eindhoven Univ. of Technology (Netherlands)
Peter H. N. de With, Eindhoven Univ. of Technology (Netherlands)
CycloMedia Technology B.V. (Netherlands)


Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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