A flexible solution for detection and tracking of multiple objects

This paper proposes a two-level approach to the multiple objects tracking problem. One particle filter-based tracker will search the whole state space for new hypotheses, and when a hypothesis becomes strong enough, an individual object tracker will be activated, which will track it until the object...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Danescu, R., Lebu, D., Oniga, F., Nedevschi, S., Meinecke, M.-M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clustering algorithms Grid computing Image edge detection Layout Object detection Particle filters Particle tracking Probability density function State-space methods Stereo image processing
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