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By this work, a new approach is proposed for the solution of the microseismic event detection problem, as well as the accurate estimation of P- and S- arrival times. This technique consists of an event detection algorithm based on the polarization attributes of the seismic signal on the time-frequency domain, further analysis on the detection results in order to obtain the optimal parameters' values for the picking procedure and an automatic picker relying on the statistical characteristics of the seismic signals. The performance of the proposed technique is evaluated using real seismic data recorded during passive seismic tomography surveys as well as an acid fracing experiment and compared to the well known sta/lta algorithm.