Abstract: Human activity recognition has always been paid attention to the field of computer vision. In this paper, a weighted recognition method based on neural network is presented to improve the accuracy of human activity recognition. Firstly, the ViBe algorithm is used to extract the foreground of human activity, and the center of gravity of the foreground is calculated. Secondly, the Fourier descriptor is obtained by the Fourier transform of the outline distance center of gravity. Finally, a weighted recognition method based on neural network is used to classify the Fourier descriptor. The experimental results show that the recognition rate of this method is more than 89%.

Key words: activity recognition, neural network, Fourier descriptor, ViBe, weighted recognition