High Frame Rate Real-time Scene Change Detection System
IR@CEERI: CSIR-Central Electronics Engineering Research Institute, Pilani
View Archive Info| Field | Value | |
| Title |
High Frame Rate Real-time Scene Change Detection System
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| Creator |
Singh, S
Saini, R Saurav, S Tanwar, P Raju, KS Saini, AK Chaudhury, S Ishii, I |
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| Subject |
Digital Systems
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| Description |
Scene change detection, one of the fundamental and most important problems of computer vision, plays a very important role in the realization of a complete industrial vision system as well as automated video surveillance sys• tem - for automatic scene analysis, monitoring, and generation of alerts based on relevant changes in a video stream. Therefore, in addition to being accurate and robust, a successful scene change detection system must also be of very high frame rate in order to detect scene changes which goes off within a glimpse of the eye and often goes unnoticeable by the conventional frame rate cameras. Keeping this high frame rate processing as main focus, a very high frame rate real-time scene change detection system is developed by leveraging VLSI design to achieve high performance. This is accomplished by proposing, designing. and implementing an area-efficient scene change detection VLSI ar• chitecrure on FPGA-based !DP Express platform. The complete real-time scene change detection system is capable of processing 2000 frames per second for 5 I 2x5 I 2 video resolution and the developed prototype is tested for the same. The proposed and implemented system architecture is adaptable and scalable for different video resolutions and frame rates.
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| Date |
2016
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ceeri.csircentral.net/284/1/20-2016%20.pdf
Singh, S and Saini, R and Saurav, S and Tanwar, P and Raju, KS and Saini, AK and Chaudhury, S and Ishii, I (2016) High Frame Rate Real-time Scene Change Detection System. In: 10th Indian Conference on Computer Vision, Graphics and Image Processing, 18 - 22 December 2016, Indian Institute of Technology Guwahati. (Submitted) |
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| Relation |
http://ceeri.csircentral.net/284/
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