FPGA based high accuracy optical flow algorithm

Browne, Alan L.; McGinnity, T.M.; Prasad, G; Condell, Joan

doi:10.1049/cp.2010.0497

Cited by 4 publications

(2 citation statements)

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“…Optical flow [16] and GBM not proves to be very efficient as optimal foreground is not obtained Error percentage also ranks high. Optical flow alone consists of possibly less noises due to filtering and also it is robust to brightness change.…”

Section: Andmentioning

confidence: 99%

OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring

SuganyaDevi

Malmurugan

Sivakumar³

2012

Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec)

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Foreground detection is a key procedure in video analysis such as object detection and tracking. Several foreground detection techniques and edge detectors have been developed until now but the problem is, usually it is difficult to obtain an optimal foreground due to weather, light, shadow and clutter interference. Background subtract is a common method in foreground detection. In background subtract noise appears at fixed place, when it is used to deal with long image sequence there may be much accumulate error in the foreground. In OF (Optical Flow) noise appears randomly and this covers long distance over long period of time. Optical flow cannot get rid of the light influences which result in background noises. To overcome this SMED (Separable Morphological Edge Detector) is used. SMED has robustness to light changing and even slight movement in the video sequence. This paper proposes a new foreground detection approach called OF and SMED which is more accurate in foreground detection and elimination of noises is very high. This approach is useful for efficient crowd and traffic monitoring, user friendly, highly automatic intelligent, computationally efficient system.

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Section: Andmentioning

confidence: 99%

OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring

SuganyaDevi

Malmurugan

Sivakumar³

2012

Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec)

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“…FPGAs can provide significant improvements in both overall performance and power efficiency by customizing the datapath of the algorithm and optimizing memory accesses. There are many examples of FPGAs implementing an optical flow algorithm for improved performance or for a real-time, lowpower implementation [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Implementing high-performance, low-power FPGA-based optical flow accelerators in C

Monson

Wirthlin

Hutchings

2013

2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors

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Recent developments in High-Level Synthesis (HLS) for FPGAs are making it possible to "run" C code on FPGAs thereby making modern programming environments available to FPGA developers. In this paper, C code for a complex optical-flow algorithm is optimized for both a desktop PC and for an FPGA-based system, the Xilinx Zynq-7000, a device containing both a programmable fabric and two ARM cores. The paper discusses how the code is optimized and restructured to execute effectively on the programmable fabric and the ARM cores. The resulting Zynq version of the C code is competitive with the desktop PC but only consumes 1/7th as much energy.

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OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences

Devi¹,

Malmurugan²

2014

Engineering Applications of Artificial Intelligence

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FPGA based high accuracy optical flow algorithm

Cited by 4 publications

References 0 publications

OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring

OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring

Implementing high-performance, low-power FPGA-based optical flow accelerators in C

OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences

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