New features and insights for pedestrian detection

Despite impressive progress in people detection the performance on challenging datasets like Caltech Pedestrians or TUD-Brussels is still unsatisfactory. In this work we show that motion features derived from optic flow yield substantial improvements on image sequences, if implemented correctly - ev...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Walk, Stefan, Majer, Nikodem, Schindler, Konrad, Schiele, Bernt
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cascading style sheets Detectors Feature extraction Histograms Humans Image motion analysis Image sequences Object detection Optical saturation Optical sensors
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