An adaptive approach for overlapping people tracking based on foreground silhouettes

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 t...

Full description

Saved in:
Bibliographic Details
Main Authors: Hsin-Ho Yeh, Jiun-Yu Chen, Chun-Rong Huang, Chu-Song Chen
Format: Conference Proceeding
Language:English
Subjects:
Color
Humans
Multiple people tracking
Particle filter
Pixel
Shape
Switches
Target tracking
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2010.5654319