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Optimized learning rate for energy waste minimization in a background subtraction based surveillance system., , and . ISCAS, page 2355-2360. IEEE, (2013)A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems., , , and . IEEE Trans. Circuits Syst. Video Techn., 27 (10): 2260-2273 (2017)Offset aperture based hardware architecture for real-time depth extraction., , , , , , , , , and 1 other author(s). ICIP, page 4392-4396. IEEE, (2017)Dual frame rate motion detection for memory- and energy-constrained surveillance systems., , and . AVSS, page 81-86. IEEE Computer Society, (2014)Real-time depth map processor for offset aperture based single camera system., , , , , , , , , and 1 other author(s). ASP-DAC, page 293-294. IEEE, (2018)Depth refinement on sparse-depth images using visual perception cues., , and . APCCAS, page 440-443. IEEE, (2016)EBSCam: Background Subtraction for Ubiquitous Computing., , and . IEEE Trans. Very Large Scale Integr. Syst., 25 (1): 35-47 (2017)A Framework for Fast and Efficient Neural Network Compression., , and . CoRR, (2018)Hardware architecture and optimization of sliding window based pedestrian detection on FPGA for high resolution images by varying local features., , , and . VLSI-SoC, page 142-148. IEEE, (2015)Unsupervised Monocular Depth Estimation with Multi-Baseline Stereo., , , and . BMVC, BMVA Press, (2020)