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21 June 2024 Human target detection method based on MobileNet-SSD combined with frame difference method
Junyi Ma, Wenyi Yu, Cungui Yu, Dacong Ren, Cheng Zhou
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Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131673B (2024) https://doi.org/10.1117/12.3029727
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
Aiming at the problem of poor detection effect of MobileNet-SSD algorithm when the target is at the edge of the image or the target is small in human target detection, this paper proposes a human target detection method based on MobileNet- SSD combined with frame difference method. Firstly, the coarse position of the moving target is obtained based on the frame difference method; Secondly, the motion region of the target is calculated based on the rough position, and the region is intercepted in the detection image to achieve the acquisition of the adaptive region of interest (ROI), and then the ROI is sent into the MobileNet-SSD model to achieve human target detection; Finally, using the human target detection method based on MobileNet-SSD combined with frame difference method to carry out the human target detection experiment. The results show that the human target detection method based on MobileNet-SSD combined with frame difference method can effectively detect the human target in the image edge region without affecting the original detection speed.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Junyi Ma, Wenyi Yu, Cungui Yu, Dacong Ren, and Cheng Zhou "Human target detection method based on MobileNet-SSD combined with frame difference method", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131673B (21 June 2024); https://doi.org/10.1117/12.3029727
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KEYWORDS
Target detection
Detection and tracking algorithms
Image processing
Object detection
Small targets
Target acquisition
Target recognition
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