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http://bura.brunel.ac.uk/handle/2438/9941
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DC Field | Value | Language |
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dc.contributor.author | Appiah, K | - |
dc.contributor.author | Meng, H | - |
dc.contributor.author | Hunter, A | - |
dc.contributor.author | Dickinson, P | - |
dc.date.accessioned | 2015-01-27T09:49:01Z | - |
dc.date.available | 2010 | - |
dc.date.available | 2015-01-27T09:49:01Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’10), The Sixth IEEE Embedded Computer Vision Workshop, pp. 45 - 52, 2010 | en_US |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5543760 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9941 | - |
dc.description.abstract | Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames. The computational cost of the similarity matrix is increased if proximate objects merge into a single object or a single object fragments into two or more parts. This paper presents a method of reducing this computational cost with the use of a reconfigurable computing architecture. Colour histogram data of moving targets are used to generate binary signatures for the detection of merged or fragmented objects. The main contribution in this paper is how binary histogram data is generated and used to detect split/merge object with the use of logical operations native to the hardware architecture used for its implementation. The results show a 10 fold improvement in processing speed over the microprocessor based implementation, and that it | en_US |
dc.format.extent | 45 - 52 | - |
dc.language.iso | en | en_US |
dc.subject | Tracking of objects | en_US |
dc.subject | Colour histograms | en_US |
dc.subject | Visual surveillance systems | en_US |
dc.title | Binary histogram based split/merge object detection using FPGAs | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/CVPRW.2010.5543760 | - |
dc.relation.isPartOf | Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’10), The Sixth IEEE Embedded Computer Vision Workshop | - |
pubs.publication-status | Published | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Biomedical Engineering and Healthcare Technologies | - |
pubs.organisational-data | /Brunel/Group Publication Pages | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 983.62 kB | Adobe PDF | View/Open |
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