论文标题
智能家庭安全摄像机的包装盗窃检测
Package Theft Detection from Smart Home Security Cameras
论文作者
论文摘要
盗窃案检测是一项具有挑战性的任务，主要是由于缺乏培训数据和各种包装盗窃案。在本文中，我们提出了一个新的全球和本地融合软件包盗窃检测嵌入（GLF-PTDE）框架，以在视频中为每个段生成软件包盗窃得分，以满足盗窃检测包上的现实世界要求。此外，我们构建了一个新颖的盗窃检测数据集，以促进有关此任务的研究。我们的方法在新提出的数据集上实现了80％的AUC性能，显示了所提出的GLF-PTDE框架的有效性及其在不同的真实场景中的稳健性，以进行包装盗窃检测。
Package theft detection has been a challenging task mainly due to lack of training data and a wide variety of package theft cases in reality. In this paper, we propose a new Global and Local Fusion Package Theft Detection Embedding (GLF-PTDE) framework to generate package theft scores for each segment within a video to fulfill the real-world requirements on package theft detection. Moreover, we construct a novel Package Theft Detection dataset to facilitate the research on this task. Our method achieves 80% AUC performance on the newly proposed dataset, showing the effectiveness of the proposed GLF-PTDE framework and its robustness in different real scenes for package theft detection.
