Pedestrian localization by appearance matching and multi-mode filtering

This paper addresses the frame-to-frame data association and state estimation problems in localization of a pedestrian relative to a moving vehicle from a far infra-red video sequence. In a novel application of the hierarchical model-based motion estimation framework, we are able to solve the frame-...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wu, Shunguang, Bansal, Mayank, Eledath, Jayan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Data association Filtering Finite impulse response filter Image matching Matched filters Motion estimation multiple-hypothesis-mode filtering object scale measurement pedestrian tracking Safety Shape State estimation Vehicles
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