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A Multisource Heterogeneous Data Fusion Method for Pedestrian Tracking
Joint Authors
Sun, Yanfeng
Yin, Baocai
Shi, Zhenlian
Xiong, Linxin
Hu, Yongli
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Traditional visual pedestrian tracking methods perform poorly when faced with problems such as occlusion, illumination changes, and complex backgrounds.
In principle, collecting more sensing information should resolve these issues.
However, it is extremely challenging to properly fuse different sensing information to achieve accurate tracking results.
In this study, we develop a pedestrian tracking method for fusing multisource heterogeneous sensing information, including video, RGB-D sequences, and inertial sensor data.
In our method, a RGB-D sequence is used to position the target locally by fusing the texture and depth features.
The local position is then used to eliminate the cumulative error resulting from the inertial sensor positioning.
A camera calibration process is used to map the inertial sensor position onto the video image plane, where the visual tracking position and the mapped position are fused using a similarity feature to obtain accurate tracking results.
Experiments using real scenarios show that the developed method outperforms the existing tracking method, which uses only a single sensing dataset, and is robust to target occlusion, illumination changes, and interference from similar textures or complex backgrounds.
American Psychological Association (APA)
Shi, Zhenlian& Sun, Yanfeng& Xiong, Linxin& Hu, Yongli& Yin, Baocai. 2015. A Multisource Heterogeneous Data Fusion Method for Pedestrian Tracking. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073017
Modern Language Association (MLA)
Shi, Zhenlian…[et al.]. A Multisource Heterogeneous Data Fusion Method for Pedestrian Tracking. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073017
American Medical Association (AMA)
Shi, Zhenlian& Sun, Yanfeng& Xiong, Linxin& Hu, Yongli& Yin, Baocai. A Multisource Heterogeneous Data Fusion Method for Pedestrian Tracking. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073017