CloudTrack: クラウドセマンティクスによるスケーラブルなUAV追跡
CloudTrack: Scalable UAV Tracking with Cloud Semantics
UAVの限られた計算資源でも動作するよう、意味的条件付きオープンボキャブラリ物体追跡をクラウドと連携して行う手法を提案し、行方不明者捜索での有効性を示した。
著者: Yannik Blei, Michael Krawez, Nisarga Nilavadi, Tanja Katharina Kaiser, Wolfram Burgard
分類: cs.RO, cs.CV
原文アブストラクト
Nowadays, unmanned aerial vehicles (UAVs) are commonly used in search and rescue scenarios to gather information in the search area. The automatic identification of the person searched for in aerial footage could increase the autonomy of such systems, reduce the search time, and thus increase the missed person's chances of survival. In this paper, we present a novel approach to perform semantically conditioned open vocabulary object tracking that is specifically designed to cope with the limitations of UAV hardware. Our approach has several advantages. It can run with verbal descriptions of the missing person, e.g., the color of the shirt, it does not require dedicated training to execute the mission and can efficiently track a potentially moving person. Our experimental results demonstrate the versatility and efficacy of our approach.
