Tracking multiple maneuvering targets remains a challenge due to the existence of clutter and the disturbance of spurious targets. Traditional tracking algorithms treat target measurements as points which results in the loss of information. We have propose a Signature Driven multiple-target Tracking (SDT) method which uses target signature in spectral, spatial and temporary spaces as well as the Markov property of target motion, and the data association process in SDT is very effective. The experimental results have shown its outstanding performance.