Research on Abnormal Behavior Recognition of ATM Based on Improved Hu Transform

doi:10. 3969/j. issn. 1006-2475.2012.04.051

Computer and Modernization ›› 2012, Vol. 1 ›› Issue (200): 188-04.doi: 10. 3969/j. issn. 1006-2475.2012.04.051

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Research on Abnormal Behavior Recognition of ATM Based on Improved Hu Transform

LI Zhan-ming， SONG Bing-ju

College of Electrical and Information Engineering， Lanzhou University of Technology， Lanzhou 730050， China

Received:2011-12-21 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

Abstract

Abstract: This paper presents a recognition approach about ATM abnormal behavior based on the improved Hu transform and Hidden Markov Models. It extracts behavior characteristics of moving object by the improved Hu transform， trains and builds Hidden Markov Models of normal behavior by the Baum-Welch algorithm. Finally it can recognize whether the ATM user’s behavior is abnormal behavior or not by the output probability of test sample sequence. The simulation video of ATM users’ behavior simulatd with Matlab software. The results show that the method can improve recognition rate in the scenes of ATM.

Key words: ATM, HMM, Hu transform, abnormal behavior recognition

LI Zhan-ming;SONG Bing-ju. Research on Abnormal Behavior Recognition of ATM Based on Improved Hu Transform[J]. Computer and Modernization, 2012, 1(200): 188-04.

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Research on Abnormal Behavior Recognition of ATM Based on Improved Hu Transform

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