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Embedded Vision for People Tracking by navimol is a document available to read on EtoBox.

What is Embedded Vision for People Tracking about?

An algorithm is implemented on an FPGA chip for real-time people counting using low-level head detection. It allows video capture and onboard processing to occur simultaneously on a single chip. The reconfigurable hardware enables pre-processing and edge extraction steps to speed up performance. This proposed system uses digital CMOS sensors and background subtraction for detection, offering real-time processing at 25-30 frames per second on an inexpensive embedded platform through hardware/software co-desi

Author

navimol

Language

EN