Object Tracking Algorithm Based on Hidden Markov Model and Block Feature Matching

2017 ◽  
Vol 54 (9) ◽  
pp. 091006
Author(s):  
陆兵 Lu Bing ◽  
顾苏杭 Gu Suhang
2007 ◽  
Vol 353-358 ◽  
pp. 2712-2715 ◽  
Author(s):  
Zhe He Yao ◽  
Xin Li ◽  
Zi Chen Chen

Self-chatter is a serious problem in cutting process. This paper aims to solve the problem by establishing time series model of vibration acceleration signal in cutting process based on Hidden Markov Model (HMM) technology and achieve the purpose of chatter recognition and prediction. Features which can indicate cutting state are extracted from the acceleration signal. HMM parameters are obtained by model training, and the reference models database is built. Then cutting state recognition is performed according to the feature matching level. Simulations and experiments are conducted, and the results show that the proposed method is feasible and it could get high recognition


2012 ◽  
Vol 132 (10) ◽  
pp. 1589-1594 ◽  
Author(s):  
Hayato Waki ◽  
Yutaka Suzuki ◽  
Osamu Sakata ◽  
Mizuya Fukasawa ◽  
Hatsuhiro Kato

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