Learning attentional policies for tracking and recognition in video with deep networks

Learning attentional policies for tracking and recognition in video with deep networks

We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by theories of the human perceptual system, the model consists of two interacting pathways: ventral and dorsal. The ventral pathway models object appearance and classification...

Полное описание

Библиографические подробности
Главные авторы:	Bazzani, L, Freitas, N, Larochelle, H, Murino, V, Ting, J
Формат:	Conference item
Опубликовано:	ACM 2011

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