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The spatio-temporal continuous wavelet transform (CWT) has proven useful for motion estimation (Me) applications. We present tracking results that highlight the ability of the CWT approach to handle non-linear motion and time-varying object signatures (as those produced by 3D motion projected in the image plane). In addition, we present two low-complexity approaches that emulate the behavior of the CWT velocity selective filters. The first approach is based on infinity impulse response (IIR) approximations of the temporal response of the CWT filters. The second technique is based on directional decompositions and results in a novel 3D decomposition, the directional filter bank.