Segmentation and appearance model building from an image sequence

TitleSegmentation and appearance model building from an image sequence
Publication TypeConference Papers
Year of Publication2005
AuthorsZhao L, Davis LS
Conference NameImage Processing, 2005. ICIP 2005. IEEE International Conference on
Date Published2005/09//
Keywordsalgorithm;, color-path-length, expectation-sampling, image, iterative, joint, kernel-based, methods;, PDF;, person, segmentation;, sequence;, sequences;, space;

In this paper we explore the problem of accurately segmenting a person from a video given only approximate location of that person. Unlike previous work which assumes that the appearance model is known in advance, we developed an iterative expectation-sampling (ES) algorithm for solving segmentation and appearance modeling simultaneously The appearance model is encoded with a kernel-based PDF defined in a joint color/path-length space. This appearance model remains unchanged during a short time period, although the object can articulate. Thus, we can perform the ES iteration not only for a single frame but also for an image sequence. The algorithm is iterative, but simple, efficient and gives visually good results.