An adaptive approach for overlapping people tracking based on foreground silhouettes
Journal
Proceedings - International Conference on Image Processing, ICIP
Pages
3489-3492
Date Issued
2010
Author(s)
Abstract
We propose Binary/Appearance Tracker which consists of background subtraction, silhouette similarity and particle filter to infer pedestrians'locations under different occlusion situations with a single camera. During the period of occlusions, binary and color silhouettes are adaptively used to effectively measure the similarity between the observation and the possible combinations of silhouettes. Thus, the occluded pedestrians'locations can be simply located by the most possible combination of silhouettes. The experimental results show that the proposed BATracker can track people successfully even though she/he is fully occluded. © 2010 IEEE.
Subjects
Multiple people tracking; Particle filter
SDGs
Other Subjects
Adaptive approach; Background subtraction; Multiple people tracking; Particle filter; People tracking; Single cameras; Image processing; Imaging systems; Nonlinear filtering; Target tracking
Type
conference paper