arXiv:1909.08171
Multiple Human Tracking using Multi-Cues including Primitive Action Features
Multiple Human Tracking using Multi-Cues including Primitive Action Features
著者: Hitoshi Nishimura, Kazuyuki Tasaka, Yasutomo Kawanishi, Hiroshi Murase
分類: cs.CV, cs.RO
原文アブストラクト
In this paper, we propose a Multiple Human Tracking method using multi-cues including Primitive Action Features (MHT-PAF). MHT-PAF can perform the accurate human tracking in dynamic aerial videos captured by a drone. PAF employs a global context, rich information by multi-label actions, and a middle level feature. The accurate human tracking result using PAF helps multi-frame-based action recognition. In the experiments, we verified the effectiveness of the proposed method using the Okutama-Action dataset. Our code is available online.