https://scholars.lib.ntu.edu.tw/handle/123456789/632539
Title: | An adaptive approach for overlapping people tracking based on foreground silhouettes | Authors: | Yeh H.-H Chen J.-Y Huang C.-R CHU-SONG CHEN |
Keywords: | Multiple people tracking; Particle filter | Issue Date: | 2010 | Start page/Pages: | 3489-3492 | Source: | Proceedings - International Conference on Image Processing, ICIP | 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. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651107673&doi=10.1109%2fICIP.2010.5654319&partnerID=40&md5=73220beac5ae520577967dd51254a3c5 https://scholars.lib.ntu.edu.tw/handle/123456789/632539 |
ISSN: | 15224880 | DOI: | 10.1109/ICIP.2010.5654319 | SDG/Keyword: | Adaptive approach; Background subtraction; Multiple people tracking; Particle filter; People tracking; Single cameras; Image processing; Imaging systems; Nonlinear filtering; Target tracking |
Appears in Collections: | 資訊工程學系 |
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