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Low Complexity Back...
Low Complexity Background Subtraction for Wireless Vision Sensor Node
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- Imran, Muhammad (författare)
- Mittuniversitetet,Avdelningen för elektronikkonstruktion
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- Ahmad, Naeem (författare)
- Mittuniversitetet,Avdelningen för elektronikkonstruktion
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- Khursheed, Khursheed (författare)
- Mittuniversitetet,Avdelningen för elektronikkonstruktion
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- O’Nils, Mattias (författare)
- Mittuniversitetet,Avdelningen för elektronikkonstruktion
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- Lawal, Najeem (författare)
- Mittuniversitetet,Avdelningen för elektronikkonstruktion
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(creator_code:org_t)
- 2013
- 2013
- Engelska.
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Ingår i: Proceedings - 16th Euromicro Conference on Digital System Design, DSD 2013. - 9780769550749 ; , s. 681-688
- Relaterad länk:
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http://www.teisa.uni...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Wireless vision sensor nodes consist of limited resources such as energy, memory, wireless bandwidth and processing. Thus it becomes necessary to investigate lightweight vision tasks. To highlight the foreground objects, many machine vision applications depend on the background subtraction technique. Traditional background subtraction approaches employ recursive and non-recursive techniques and store the whole image in memory. This raises issues like complexity on hardware platform, energy requirements and latency. This work presents a low complexity background subtraction technique for a hardware implemented VSN. The proposed technique utilizes existing image scaling techniques for scaling down the image. The downscaled image is stored in memory of microcontroller which is already there for transmission. For subtraction operation, the background pixels are generated in real time through up scaling. The performance, and memory requirements of the system is compared for four image scaling techniques including nearest neighbor, averaging, bilinear, and bicubic. The results show that a system with lightweight scaling techniques, i.e., nearest neighbor and averaging, up to a scaling factor of 8, missed on average less than one object as compared to a system which uses a full original background image. The proposed approach will reduce the cost, design/implementation complexity and the memory requirement by a factor of up to 64.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- wireless vision sensor node
- background subtraction
- Smart camera
- low complexity.
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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