Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/79959
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Chen, Y. | - |
dc.contributor.author | Zhang, R. | - |
dc.contributor.author | Shang, L. | - |
dc.contributor.author | Hu, E. | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Review of Scientific Instruments, 2013; 84(6):1-6 | - |
dc.identifier.issn | 0034-6748 | - |
dc.identifier.issn | 1089-7623 | - |
dc.identifier.uri | http://hdl.handle.net/2440/79959 | - |
dc.description.abstract | A method based on motion vectors of feature points and particle filter has been proposed and developed for an active/moving camera for object detection and tracking purposes. The object is detected by histogram of motion vectors first, and then, on the basis of particle filter algorithm, the weighing factors are obtained via color information. In addition, re-sampling strategy and surf feature points are used to remedy the drawback of particle degeneration. Experimental results demonstrate the practicability and accuracy of the new method and are presented in the paper. | - |
dc.description.statementofresponsibility | Yong Chen, Rong-Hua Zhang, Lei Shang, and Eric Hu | - |
dc.language.iso | en | - |
dc.publisher | Amer Inst Physics | - |
dc.rights | © 2013 AIP Publishing LLC | - |
dc.source.uri | http://dx.doi.org/10.1063/1.4809768 | - |
dc.title | Object detection and tracking with active camera on motion vectors of feature points and particle filter | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1063/1.4809768 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Hu, E. [0000-0002-7390-0961] | - |
Appears in Collections: | Aurora harvest 4 Environment Institute publications Mechanical Engineering publications |
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