The embedded real-time detection system of moving object based on improved Gaussian mixture model
by Zhiwei Tang; Ziwei Lin; Bin Li; Longhu Chen
International Journal of Embedded Systems (IJES), Vol. 8, No. 2/3, 2016

Abstract: Because of its complexity, the Gaussian mixture model algorithm costs many computing resources (CPU cycles) and it is difficult to realise real-time moving object detection on the embedded system. A real-time motion detection method based on an improved Gaussian mixture model is presented in this paper, which is optimised and adjusted for the Gaussian mixture model. It is also optimised on C language and CPU for running on an embedded system. The design of software and hardware on DM6446 is presented in detail including the implementation of the algorithm. The experimental results show that the system can effectively overcome the interference from external environment and realise multi-object real-time motion detection and tracking.

Online publication date: Tue, 26-Apr-2016

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