关键词: 重心轨迹, 场景因子, 频谱分析, 服饰, 携带物

Abstract: With the development of methods of gait recognition, it has become a hot direction of applying gait recognition system into real life. At the moment, the main obstacle hindering development of gait recognition system is the influence of changes of dress and carrying goods on gait profile of pedestrians. It proposes a gait recognition method based on track of gravity center, which firstly converses the original video of gait into binary image sequence and calculates the coordinates of gravity center in each frame of image, and then connects sequentially the coordinates of gravity centers of all frames in the image sequence to obtain the track of gravity center and multiplies it with scene factors to reduce the influence of viewing angle on coordinates of gravity center. The track of gravity center will be spectrum analyzed, and the spectrum transformed Fourier coefficients will be normalized to gait feature vectors and input into K cluster and BP neural network for recognition. The test proves that, the method is capable of achieving excellent recognition effect under conditions of different dresses and carrying goods and still maintains high recognition rate without retraining models when the pedestrians change their dresses and carrying goods.

Key words: gravity center track, scene factor, spectrum analysis, dress, carrying