Paper
27 June 2023 Multiple feature fusion algorithm for human fall detection in intelligent monitor video
Yize Tang, Lanxin Qiu, Yiliang Wang, Zhi Ling, Hui Xiang, Chen He
Author Affiliations +
Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127051V (2023) https://doi.org/10.1117/12.2681184
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China
Abstract
Human fall detection is main abnormal event in intelligent power distribution network monitor scenario. Due to diverse body postures and human actions before human fall, it is difficult to detect human fall action effectively. To solve this problem, we studied five human fall-related features and proposed multiple feature fusion algorithm to detect human fall action in intelligent monitor video. Experiment results and field test both demonstrated its effectiveness of the proposed algorithm.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yize Tang, Lanxin Qiu, Yiliang Wang, Zhi Ling, Hui Xiang, and Chen He "Multiple feature fusion algorithm for human fall detection in intelligent monitor video", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127051V (27 June 2023); https://doi.org/10.1117/12.2681184
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KEYWORDS
Video

Feature fusion

Detection and tracking algorithms

Education and training

Head

Feature extraction

Video surveillance

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