@conference {13190,
	title = {Segmentation and appearance model building from an image sequence},
	booktitle = {Image Processing, 2005. ICIP 2005. IEEE International Conference on},
	volume = {1},
	year = {2005},
	month = {2005/09//},
	pages = {I - 321-4 - I - 321-4},
	abstract = {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.},
	keywords = {algorithm;, color-path-length, expectation-sampling, image, iterative, joint, kernel-based, methods;, PDF;, person, segmentation;, sequence;, sequences;, space;},
	doi = {10.1109/ICIP.2005.1529752},
	author = {Liang Zhao and Davis, Larry S.}
}
