Our recent wavelet based fusion research concentrated on the analysis of static images. Although there is a substantial savings in the time needed to create a fused image, there are still problems with the extraction of connected regions from the image. This is due to the ambiguities associated with the choice of the wavelet channels to use for reconstruction. Multiple images derived from multiple sensors can be used to assist this selection process, as well as to derive object characteristics through dynamic scene analysis. Some of our earlier work with epipolar image (EPI) analysis of fused image sequences indicated that the technique was able to successfully act as a navigation aid in highly cluttered, dynamic environments. In this paper, we present a system that combines wavelet analysis with the EPI technique. Frame by frame integration of information from the sensors is done within the wavelet coefficient space, followed by an EPI analysis of features derived from the fused coefficients. We also report the results of a preliminary experiment with a laboratory sequence.