Embedded system for real-time human motion detection

This paper describes an embedded system for real-time human motion detection using a fixed camera. A modified version of the Codebook algorithm is developed to detect moving objects. This algorithm provides fast background modelling and subtraction with small storage memory requirements. Then, the system detects humans using a simplified Skeletonization algorithm, which uses the individual human shape and does not need a model comparison. Functional and timing simulations are applied by using MATLAB and Visual Studio on PC. Finally, the system is installed on ALTERA Cyclone™ II DSP development board and implemented using the Nios II processor and some hardware accelerators.