A partition approach for robust gait recognition based on gait template fusion
Frontiers of Information Technology and Electronic Engineering, ISSN: 2095-9230, Vol: 22, Issue: 5, Page: 709-719
2021
- 3Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
Article Description
Gait recognition has significant potential for remote human identification, but it is easily influenced by identity-unrelated factors such as clothing, carrying conditions, and view angles. Many gait templates have been presented that can effectively represent gait features. Each gait template has its advantages and can represent different prominent information. In this paper, gait template fusion is proposed to improve the classical representative gait template (such as a gait energy image) which represents incomplete information that is sensitive to changes in contour. We also present a partition method to reflect the different gait habits of different body parts of each pedestrian. The fused template is cropped into three parts (head, trunk, and leg regions) depending on the human body, and the three parts are then sent into the convolutional neural network to learn merged features. We present an extensive empirical evaluation of the CASIA-B dataset and compare the proposed method with existing ones. The results show good accuracy and robustness of the proposed method for gait recognition.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85105158838&origin=inward; http://dx.doi.org/10.1631/fitee.2000377; https://link.springer.com/10.1631/FITEE.2000377; https://link.springer.com/content/pdf/10.1631/FITEE.2000377.pdf; https://link.springer.com/article/10.1631/FITEE.2000377/fulltext.html; https://dx.doi.org/10.1631/fitee.2000377; https://link.springer.com/article/10.1631/FITEE.2000377; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6975209&internal_id=6975209&from=elsevier
Zhejiang University Press
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