Person Tracking in Large Public Spaces Using 3-D Range Sensors
Article Properties
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DOI (url)
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Publication Date2013/11/01
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Indian UGC (journal)
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Refrences28
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Citations4
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Drazen Brscic
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Takayuki Kanda
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Tetsushi Ikeda
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Takahiro Miyashita
Cite
Brscic, Drazen, et al. “Person Tracking in Large Public Spaces Using 3-D Range Sensors”. IEEE Transactions on Human-Machine Systems, vol. 43, no. 6, 2013, pp. 522-34, https://doi.org/10.1109/thms.2013.2283945.
Brscic, D., Kanda, T., Ikeda, T., & Miyashita, T. (2013). Person Tracking in Large Public Spaces Using 3-D Range Sensors. IEEE Transactions on Human-Machine Systems, 43(6), 522-534. https://doi.org/10.1109/thms.2013.2283945
Brscic, Drazen, Takayuki Kanda, Tetsushi Ikeda, and Takahiro Miyashita. “Person Tracking in Large Public Spaces Using 3-D Range Sensors”. IEEE Transactions on Human-Machine Systems 43, no. 6 (2013): 522-34. https://doi.org/10.1109/thms.2013.2283945.
Brscic D, Kanda T, Ikeda T, Miyashita T. Person Tracking in Large Public Spaces Using 3-D Range Sensors. IEEE Transactions on Human-Machine Systems. 2013;43(6):522-34.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A novel system for tracking pedestrians using multiple single-row laser-range scanners | 2005 | |||
| Person tracking in three-dimensional laser range data with explicit occlusion adaption | 2011 | |||
| Part-based multiple-person tracking with partial occlusion handling | 2012 | |||
| Cluster tracking with time-of-flight cameras | 2008 | |||
| A laser-based people tracker | 0 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| With or Without You: Effect of Contextual and Responsive Crowds on VR-based Crowd Motion Capture | IEEE Transactions on Visualization and Computer Graphics |
| 2024 | |
Benchmarking the utility of maps of dynamics for human-aware motion planning | Frontiers in Robotics and AI |
| 1 | 2022 |
| Learning proactive behavior for interactive social robots | Autonomous Robots |
| 15 | 2017 |
| Personal Greetings: Personalizing Robot Utterances Based on Novelty of Observed Behavior | International Journal of Social Robotics |
| 9 | 2016 |
Citations Analysis
The category
Technology: Mechanical engineering and machinery 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Personal Greetings: Personalizing Robot Utterances Based on Novelty of Observed Behavior and was published in 2016. The most recent citation comes from a 2024 study titled With or Without You: Effect of Contextual and Responsive Crowds on VR-based Crowd Motion Capture. This article reached its peak citation in 2024, with 1 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the IEEE Transactions on Visualization and Computer Graphics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.