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18 hours ago · One approach is the use of classical classifiers and beamforming algorithms to detect surveillance sound events. The combination of Support Vector Machines (SVM) ...
3 days ago · The design techniques of a system are analyzed to estimate the expected received signals from different targets and sources of noise in the system. The range ...
6 days ago · In this paper, we propose an end-to-end approach for low-light instance segmentation that takes low-light sRGB images as inputs as these are much more widely ...
5 days ago · We found that detection, recognition, and localization in real-world background noise was better for foreground sounds positioned later in a noise excerpt, with ...
Missing: Surveillance | Show results with:Surveillance
4 days ago · In this study, we developed a technique to utilize phase nonlinearity as a quantifiable confidence measure of the reliability of component displacement ...
Missing: Surveillance | Show results with:Surveillance
4 days ago · We propose a robust mixed-rate ROI-aware video compressive sensing algorithm for transmission line surveillance video compression. The proposed method ...
19 hours ago · This method reveals the great potential of dual-camera imaging systems in compressed spectral imaging. ... noise to the ideal dual-camera measurement process can ...
3 days ago · The Integrator is in charge of estimating the video motion. Synchronization ... In this context, we can think of noise in two ways: first, the inherent noise from ...
6 days ago · This paper proposes a framework using deep learning for obstacle detection and stereo vision for estimating the depth and size of the detected objects in the ...
1 day ago · This paper demonstrates that state-of-the-art human pose estimation models are significantly affected by label noise in the training data. The researchers ...
Missing: Surveillance | Show results with:Surveillance