検出しやすさを考慮したドローン撮影者の軌道生成
Detection-Aware Trajectory Generation for a Drone Cinematographer
追跡対象が背景と色で見分けやすい視界になるよう撮影ドローンの軌道を計画し、物体検出・追跡の性能を高める手法を提案した論文。
著者: Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim
分類: cs.RO, cs.CV
原文アブストラクト
This work investigates an efficient trajectory generation for chasing a dynamic target, which incorporates the detectability objective. The proposed method actively guides the motion of a cinematographer drone so that the color of a target is well-distinguished against the colors of the background in the view of the drone. For the objective, we define a measure of color detectability given a chasing path. After computing a discrete path optimized for the metric, we generate a dynamically feasible trajectory. The whole pipeline can be updated on-the-fly to respond to the motion of the target. For the efficient discrete path generation, we construct a directed acyclic graph (DAG) for which a topological sorting can be determined analytically without the depth-first search. The smooth path is obtained in quadratic programming (QP) framework. We validate the enhanced performance of state-of-the-art object detection and tracking algorithms when the camera drone executes the trajectory obtained from the proposed method.
関連論文
- 芸術原則を活用した自律ドローン撮影:滑らかで安全、遮蔽のない空中撮影軌道の生成ドローン撮影/軌道計画
- ドローン撮影監督への道:視覚構図原則でクアッドロータカメラを導くドローン撮影/軌道計画
