Proposition and comprehensive efficiency evaluation of a foreground Detection algorithm based on Optical Flow and canny Edge Detection for video surveillance systems

Sikri, Vanshaj

doi:10.1109/wispnet.2016.7566380

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2018

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Cited by 4 publications

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“…The third type of automatic object detection algorithm is based on optical flow (OF) calculation [10]. This method estimates motion scenes and combines similar motion vectors to detect moving objects.…”

Section: Introductionmentioning

confidence: 99%

Big data oriented novel background subtraction algorithm for urban surveillance systems

Yuan

2018

Big Data Min. Anal.

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Due to the tremendous volume of data generated by urban surveillance systems, big data-oriented lowcomplexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. This method is both simple and robust with respect to changes in light conditions.

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Section: Introductionmentioning

confidence: 99%