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An Automated Face Recognition System for Intelligence Surveillance: Smart Camera Recognizing Faces in the Crowd.

, , , and . ICDSC, page 147-152. IEEE, (2007)

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Robust face recognition against expressions and partial occlusions., , and . Int. J. Autom. Comput., 13 (4): 319-337 (2016)Real-Time Face Detection and Tracking for High Resolution Smart Camera System., , , , and . DICTA, page 387-393. IEEE Computer Society, (2007)Low voltage DC power supply with spike-blocking features., , , , and . I2MTC, page 1161-1164. IEEE, (2013)Square Patch Feature: Faster weak-classifier for robust object detection., , , , and . ICARCV, page 2073-2077. IEEE, (2010)Coincidence Detection Using Spiking Neurons with Application to Face Recognition., , and . J. Appl. Math., (2015)Optimizing Resources of an FPGA-based Smart Camera Architecture., , , and . DICTA, page 600-606. IEEE Computer Society, (2007)A Bayesian network-based framework with Constraint Satisfaction Problem (CSP) formulations for FPGA system design., , , , and . ASAP, page 81-88. IEEE Computer Society, (2010)Square patch feature based face detection architecture for high resolution smart camera., , , and . ICDSC, page 175-181. ACM, (2010)Features-Based Moving Objects Tracking for Smart Video Surveillances: A Review., , , , , , and . Int. J. Artif. Intell. Tools, 27 (2): 1830001:1-1830001:25 (2018)Real-Time Face Detection on High Resolution Smart Camera System. University of Queensland, Australia, (2010)