A privacy-preserving, real-time fall detection system using a frequency-modulated continuous wave radar sensor and a lightweight convolutional neural network architecture deployed on an edge device indicates the feasibility of privacy-preserving on-device fall detection, while validation with older adults and in real l...
Ju-Hong Oh, Young-Joon Park, Seon-in Kim et al.· Italian National Conference...· 0 citations
With the rapid development of high-resolution remote sensing platforms and the growing demand for intelligent Earth observation, remote sensing image semantic segmentation has become a key technology for road extraction, urban–rural planning, disaster monitoring, and ecological assessment. However, complex remote sensi...
Zi Yuan, Quan-Nian Zhang, Guo-Tong Geng et al.· IEEE Journal of Selected Top...· 0 citations
M-FSAD-KD is proposed, a full-link distillation framework whose neck-stage Fourier-gated alignment transfers low-frequency structural content while preserving target-edge high-frequency content; a joint spatial–channel attention mask, a shallow backbone adapter, and a response-level knowledge distillation (KD) term com...
Yu-Ming Tong, Kai-Na Xiong, Jun Liu et al.· Remote Sensing· 0 citations
Infrared small target detection (IRSTD) plays an important role in a wide range of civilian and military applications. However, the accurate detection remains challenging because infrared (IR) targets usually occupy only a few pixels and exhibit weak contrast, while complex background structures can generate target-lik...
Peng-Qiang Ge, Guo-Hua Gu, Wei-Xian Qian et al.· IEEE Transactions on Geoscie...· 0 citations
4D millimeter-wave (mmWave) radar enables all-weather 3D object detection with reliable Doppler sensing. However, its practical application is hindered by inherent sparsity and noise. While multi-frame accumulation densifies point clouds, it inevitably introduces motion-induced spatiotemporal misalignment and geometric...
Xing-Kai Jin, Guang-Xian Xu, Fei Ma et al.· IEEE Robotics and Automation...· 0 citations
Infrared small target detection (IRSTD) remains highly challenging in long-range imaging scenarios due to extremely weak target characteristics and severe background interference. Although recent deep learning-based methods have achieved remarkable progress through hierarchical representation learning, subtle target cu...
Gui-Ping Wu, Lidong Liu, Tao Gao et al.· IEEE Transactions on Geoscie...· 0 citations
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