Deep Tracking: Biologically Inspired Tracking with Deep Convolutional Networks

Abstract

This paper discusses the problem of tracking from a deep learning approach. This experiment takes cues from how the brain is modeled to create deep convolutional networks that mimic how the human brain tracks objects. By using optical flow and deep networks to implement a dual appearance and motion stream, our tracker outperforms current state of the art… (More)

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