A generic bi-directional scheme is proposed that robustifies the estimation of the maximum-a-posteriori (MAP) sequence of states of a visual object. It enables creative, non-technical users to obtain the path of interesting objects in offline available video material, which can then be used to create interactive movies. To robustify against tracker failure the proposed scheme merges the filtering distributions of a forward tracking particle filter and a backward tracking particle filter at some timesteps, using a reliability-based voting scheme such as in democratic integration. The MAP state sequence is obtained using the Viterbi
algorithm on reduced state sets per timestep and is interpolated linearly where tracking failure is suspected. The presented scheme is generic, simple and efficient and shows good results for a color-based particle filter.
Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium
PublisherLecture Notes in Computer Science, Nr. 3708, pp. 587-594, .
Pages587-594
Number of pages8
Volume3708
ISBN (Print)3-540-29032-X
Publication statusPublished - 20 Aug 2005
EventFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden
Duration: 21 Sep 200925 Sep 2009

Publication series

NameLecture Notes in Computer Science

Conference

ConferenceFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
CountrySweden
CityStockholm
Period21/09/0925/09/09

    Research areas

  • particle filtering, object tracking

ID: 1470854