Learned Temporal Models of Image Motion
نویسندگان
چکیده
An approach for learning and estimating temporal-ow models from image sequences is proposed. The temporal-ow models are represented as a set of orthogonal temporal-ow bases that are learned using principal component analysis of instantaneous ow measurements. Spatial constraints on the temporal-ow are also developed for modeling the motion of regions in rigid and coordinated motion. The performance of these models is demonstrated on several long image sequences of rigid and articulated bodies in motion.
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تاریخ انتشار 1998