Real-time pedestrian tracking by visual attention and human knowledge learning

In this paper, a novel model of pedestrian tracking by using object-based attention and human knowledge is presented. The selective units in the system are the objects and groupings which are space-driven as well as feature-driven. The factors of speed, motion direction and spatial location are used...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jinhua Zeng, Yaoru Sun
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	hierarchical selectivity human knowledge motion cue pedestrian tracking visual attention
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