TY - GEN
T1 - Event detection with vector similarity based on fourier transformation
AU - Han, Tao
AU - Lan, Yuqing
AU - Xiao, Limin
AU - Huang, Binyang
AU - Zhang, Kai
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/8/25
Y1 - 2015/8/25
N2 - Event detection through sensors data recording human activities is an aspect to learn human behaviors. In this paper, counted numbers from a sensor installed on a building entrance recording the number of people entering the building, will be processed to find the anomaly time interval when there are more people going through the entrance, which is viewed as event. An approach is adopted having two steps: first, the counted numbers over time is processed by Fourier Transformation and we get the parameter of a vector (ReX[k], ImX[k]) representing kth point in the data set; second, the vectors of (ReX[k], ImX[k]) are classified by KNN algorithm in two dimensions, categorizing the data in the same time interval in 70 days and the data in 48 intervals in one day. The results show that the proposed method works well.
AB - Event detection through sensors data recording human activities is an aspect to learn human behaviors. In this paper, counted numbers from a sensor installed on a building entrance recording the number of people entering the building, will be processed to find the anomaly time interval when there are more people going through the entrance, which is viewed as event. An approach is adopted having two steps: first, the counted numbers over time is processed by Fourier Transformation and we get the parameter of a vector (ReX[k], ImX[k]) representing kth point in the data set; second, the vectors of (ReX[k], ImX[k]) are classified by KNN algorithm in two dimensions, categorizing the data in the same time interval in 70 days and the data in 48 intervals in one day. The results show that the proposed method works well.
KW - Fourier Transformation
KW - KNN
KW - event detection
KW - vector similarity
UR - https://www.scopus.com/pages/publications/84950996582
U2 - 10.1109/CCSSE.2014.7224536
DO - 10.1109/CCSSE.2014.7224536
M3 - 会议稿件
AN - SCOPUS:84950996582
T3 - Proceedings - 2014 IEEE International Conference on Control Science and Systems Engineering, CCSSE 2014
SP - 195
EP - 199
BT - Proceedings - 2014 IEEE International Conference on Control Science and Systems Engineering, CCSSE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Control Science and Systems Engineering, CCSSE 2014
Y2 - 29 December 2014 through 30 December 2014
ER -