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http://bura.brunel.ac.uk/handle/2438/6008
Title: | Accelerated hardware video object segmentation: From foreground detection to connected components labelling |
Authors: | Appiah, K Hunter, A Dickinson, P Meng, H |
Keywords: | Background differencing;Image segmentation;Connected component labelling;Object extraction;FPGA |
Issue Date: | 2010 |
Publisher: | Elsevier |
Citation: | Computer Vision and Image Understanding, 114(11): 1282-1291, Nov 2010 |
Abstract: | This paper demonstrates the use of a single-chip FPGA for the segmentation of moving objects in a video sequence. The system maintains highly accurate background models, and integrates the detection of foreground pixels with the labelling of objects using a connected components algorithm. The background models are based on 24-bit RGB values and 8-bit gray scale intensity values. A multimodal background differencing algorithm is presented, using a single FPGA chip and four blocks of RAM. The real-time connected component labelling algorithm, also designed for FPGA implementation, run-length encodes the output of the background subtraction, and performs connected component analysis on this representation. The run-length encoding, together with other parts of the algorithm, is performed in parallel; sequential operations are minimized as the number of run-lengths are typically less than the number of pixels. The two algorithms are pipelined together for maximum efficiency. |
Description: | This is the preprint version of the Article - Copyright @ 2010 Elsevier |
URI: | http://www.sciencedirect.com/science/article/B6WCX-4YX002K-2/2/340a3e3970a577f22787ba65a36e341d http://bura.brunel.ac.uk/handle/2438/6008 |
DOI: | http://dx.doi.org/10.1016/j.cviu.2010.03.021 |
ISSN: | 1077-3142 |
Appears in Collections: | Electronic and Electrical Engineering Publications Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Appiah2010CVIUAcceleratedHardwareObjectExtraction.pdf | 579.3 kB | Adobe PDF | View/Open |
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