Lianming Xu

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Queuing is common in urban public places. Automatically monitoring and predicting queuing time can not only help individuals to reduce their wait time and alleviate anxiety but also help managers to allocate resources more efficiently and enhance their ability to address emergencies. This paper proposes a novel method to estimate and predict queuing time in(More)
—An improved Kalman filter algorithm is proposed by two kinds of anti-perturbation method which is derived according to the perturbation theorem of inverse matrix. Furthermore, direction-correcting has been merged into the algorithm by using multiple hypothesis testing theory which can detect the current direction of a target. Finally, Both quantitative and(More)
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