Papers
arxiv:2205.11804

Package Theft Detection from Smart Home Security Cameras

Published on May 24, 2022
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Abstract

The proposed GLF-PTDE framework effectively detects package theft by generating scores for video segments using a global and local fusion approach, achieving high AUC performance on a newly constructed dataset.

AI-generated summary

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.

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