Evolving networks for group object motion estimation

This paper proposes a technique for group object motion estimation based on evolving graph networks. The main novelty over alternative group tracking techniques stems from learning the network structure for the group. An algorithm is proposed for automatic graph structure initialisation, incorporati...

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Veröffentlicht in:	IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications S. 97 - 106
Hauptverfasser:	Gning, A, Mihaylova, L, Maskell, S, Sze Kim Pang, Godsill, S
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Stevenage IET 2008
Schlagworte:	Combinatorial mathematics Computer vision and image processing techniques Monte Carlo methods Optical, image and video signal processing evolving graph network model Monte Carlo methods sequential Monte Carlo framework graph theory motion estimation object detection group object motion estimation tracking group object tracking technique automatic graph structure initialisation
ISBN:	0863419100, 9780863419102
Online-Zugang:	Volltext
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