Dynamic motion analysis using wavelet flow surface images

We have developed a motion analysis method that combines the wavelet transform with the ow surface image technique. In dynamic navigation environments, whenever objects move, the projections of the objects onto the image plane also move. These projections build over time spatiotemporal surfaces of their movement and volumes created by the surfaces. This paper presents a new method for the interpretation of optical ow for moving objects from a sequence of images. Flow surface images of the moving objects are created within the wavelet-derived space, chosen from seven diierent directionally sensitive detail images using the 3-D wavelet decomposition. The motion estimation algorithm concentrates on the integration of information from the ow surface images, followed by a quadratic patch parame-terization and determination of ow paths of the end points of edges on the ow surface images. The results of two experimental studies with an object exhibiting out-of-plane translation and rotation are also reported.