TY - GEN
T1 - Multimodal sensor fusion for personnel detection
AU - Jin, Xin
AU - Gupta, Shalabh
AU - Ray, Asok
AU - Damarla, Thyagaraju
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying algorithms and limitations of onboard computation. This paper presents a symbolic method of feature extraction and sensor fusion, which is built upon the principles of wavelet transform and probabilistic finite state automata (PFSA). The relational dependencies among heterogeneous sensors are modeled by cross-PFSA, from which low-dimensional feature vectors are generated for pattern classification in real time. The proposed method has been validated on data sets of seismic and passive infrared (PIR) sensors for target detection and classification. The proposed method has the advantages of fast execution time and low memory requirements and is potentially well-suited for real-time implementation with onboard UGS systems.
AB - Unattended ground sensors (UGS) are widely used to monitor human activities, such as pedestrian motion and detection of intruders in a secure region. Efficacy of UGS systems is often limited by high false alarm rates, possibly due to inadequacies of the underlying algorithms and limitations of onboard computation. This paper presents a symbolic method of feature extraction and sensor fusion, which is built upon the principles of wavelet transform and probabilistic finite state automata (PFSA). The relational dependencies among heterogeneous sensors are modeled by cross-PFSA, from which low-dimensional feature vectors are generated for pattern classification in real time. The proposed method has been validated on data sets of seismic and passive infrared (PIR) sensors for target detection and classification. The proposed method has the advantages of fast execution time and low memory requirements and is potentially well-suited for real-time implementation with onboard UGS systems.
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M3 - Conference contribution
AN - SCOPUS:80052521549
SN - 9781457702679
T3 - Fusion 2011 - 14th International Conference on Information Fusion
BT - Fusion 2011 - 14th International Conference on Information Fusion
T2 - 14th International Conference on Information Fusion, Fusion 2011
Y2 - 5 July 2011 through 8 July 2011
ER -