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A region-based particle filter for generic object tracking and segmentation

Author
Varas, D.; Marques, F.
Type of activity
Presentation of work at congresses
Name of edition
19th IEEE International Conference on Image Processing
Date of publication
2013
Presentation's date
2012-09
Book of congress proceedings
2012 IEEE International Conference on Image Processing: ICIP 2012: proceedings: September 30-October 3 2013, Lake Buena Vista, Florida, USA
First page
1333
Last page
1336
DOI
https://doi.org/10.1109/ICIP.2012.6467114 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467114 Open in new window
Abstract
In this work we present a region-based particle filter for generic object tracking and segmentation. The representation of the object in terms of regions homogeneous in color allows the proposed algorithm to robustly track the object and accurately segment its shape along the sequence. Moreover, this segmentation provides a mechanism to update the target model and allows the tracker to deal with color and shape variations of the object. The performance of the algorithm has been tested using the ...
Keywords
INSPEC. CONTROLLED INDEXING: image colour analysis, Particle filter, Tracking, image representation, image segmentation, object tracking, particle filtering (numerical methods), video databases AUTHOR KEYWORDS: Image segmentation
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants