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Author Wang, Nan ♦ Ai, Haizhou
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Human Appearance ♦ Blocking Model ♦ Traditional Layered Model ♦ Person-wise Occlusion ♦ Opti-mal Clothing Layout ♦ Novel Multi-person Clothing Segmentation Algorithm ♦ Simultaneous Clothing Segmentation ♦ Contextual In-formation ♦ Markov Network ♦ Large Number ♦ Local Blocking Relationship ♦ Full Layer ♦ Key Idea ♦ Informative Cue ♦ Pair-wise One ♦ Layout Model ♦ Group People
Description In ICCV
Clothing is one of the most informative cues of human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded im-ages. The key idea is combining blocking models to address the person-wise occlusions. In contrary to the traditional layered model that tries to solve the full layer ranking prob-lem, the proposed blocking model partitions the problem into a series of pair-wise ones and then determines the local blocking relationship based on individual and contextual in-formation. Thus, it is capable of dealing with cases with a large number of people. Additionally, we propose a layout model formulated as Markov Network which incorporates the blocking relationship to pursue an approximately opti-mal clothing layout for group people. Experiments demon-strated on a group images dataset show the effectiveness of our algorithm. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2011-01-01