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- W2940418650 abstract "This paper presents a method for motion detection and person recognition from a video stream generated by a surveillance system. The goal of this work is to implement an algorithm that differentiates a person form other types of forms. Motion detection is realized based on the comparison of two frames extracted at a specific time interval from the real-time video stream. Based on the resulted comparison, a binarization algorithm and a region growing algorithm are used to extract all independent moving objects in the motion case. For each extracted region, a series of geometric features are computed to differentiate the form of a person from other detected forms." @default.
- W2940418650 created "2019-04-25" @default.
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- W2940418650 date "2018-06-01" @default.
- W2940418650 modified "2023-09-23" @default.
- W2940418650 title "Person Detection in Video Surveillance" @default.
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- W2940418650 doi "https://doi.org/10.1109/ecai.2018.8678939" @default.
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