高確率領域探索を用いた広域マルチオブジェクト検出システム
A Novel Wide-Area Multiobject Detection System with High-Probability Region Searching
広角カメラと高速探索カメラ、ガルバノミラーを組み合わせ、パノラマ確率マップで対象の存在確率が高い領域を推定して効率的に探索・検出する120fpsの広域監視システムを提案した。
著者: Xianlei Long, Hui Zhao, Chao Chen, Fuqiang Gu, Qingyi Gu
分類: cs.CV, cs.RO
原文アブストラクト
In recent years, wide-area visual surveillance systems have been widely applied in various industrial and transportation scenarios. These systems, however, face significant challenges when implementing multi-object detection due to conflicts arising from the need for high-resolution imaging, efficient object searching, and accurate localization. To address these challenges, this paper presents a hybrid system that incorporates a wide-angle camera, a high-speed search camera, and a galvano-mirror. In this system, the wide-angle camera offers panoramic images as prior information, which helps the search camera capture detailed images of the targeted objects. This integrated approach enhances the overall efficiency and effectiveness of wide-area visual detection systems. Specifically, in this study, we introduce a wide-angle camera-based method to generate a panoramic probability map (PPM) for estimating high-probability regions of target object presence. Then, we propose a probability searching module that uses the PPM-generated prior information to dynamically adjust the sampling range and refine target coordinates based on uncertainty variance computed by the object detector. Finally, the integration of PPM and the probability searching module yields an efficient hybrid vision system capable of achieving 120 fps multi-object search and detection. Extensive experiments are conducted to verify the system's effectiveness and robustness.
