MDL-Based Segmentation and Motion Modeling in a Long Image Sequence of Scene with Multiple Independently Moving Objects January 1996 (vol. 18 no. 1) pp. 58-64
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.476012
Abstract—This paper presents a method for spatiotemporal segmentation of long image sequences of scenes which include multiple independently moving objects, based on the minimum description length (MDL) principle. First, a family of motion models is constructed, each of which corresponds to a physically meaningful motion such as translation with constant velocity or a combination of translation and rotation. Then, the motion description length is formulated. When an object changes the type of the motion or a new part of an object appears, the corresponding temporal or spatial segmentation is carried out. Ambiguous segmentation of two consecutive images can be resolved by minimizing the motion description length in a long sequence of images. Experiments on several real image sequences show the validity of our method. [1] G. Adiv, "Determining three-dimensional motion and structure form optical flow generated by several moving objects," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 7, pp. 384-401, 1985.
Index Terms:
Long image sequence, spatiotemporal segmentation, motion estimation, MDL principle.
Citation:
Haisong Gu, Yoshiaki Shirai, Minoru Asada, "MDL-Based Segmentation and Motion Modeling in a Long Image Sequence of Scene with Multiple Independently Moving Objects," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 1, pp. 58-64, Jan. 1996, doi:10.1109/34.476012 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||