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Sensors and Materials, Volume 33, Number 9(4) (2021)
Copyright(C) MYU K.K.
pp. 3283-3293
S&M2688 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3391
Published: September 30, 2021

Algorithm to Merge Images to Increase Browsing Speed of Smart Video Surveillance System [PDF]

Xiaomei Zhang, Jinbin Zheng, Wenjuan Wang, Hsien-Wei Tseng, and Cheng-Fu Yang

(Received March 23, 2021; Accepted June 29, 2021)

Keywords: fast image browsing technology, smart video surveillance system, discrete wavelet transform, fake motion

With the increasing use of digital video surveillance systems in the past few years, a greater number of images are being stored and analyzed. Thus, large amounts of time and labor are required to browse stored images when searching for specific people and objects. Based on the concept of video synopsis, we proposed an image processing flow to decrease the number of images requiring browsing, thus reducing the browsing time of surveillance images. We first used the discrete wavelet transform (DWT) to reduce the image resolution. We also used a low-pass filter to filter out the noise and fake motion generated from the external environment. Next, we removed the redundant information from the timeline, which allowed us to delete images in which no incidents occurred, then we used the proposed algorithm to extract the foreground objects. Finally, we calculated the space information of the recorded images, then a continuous event was integrated and merged in an image, thus reducing the time required for video playback.

Corresponding author: Cheng-Fu Yang


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xiaomei Zhang, Jinbin Zheng, Wenjuan Wang, Hsien-Wei Tseng, and Cheng-Fu Yang, Algorithm to Merge Images to Increase Browsing Speed of Smart Video Surveillance System, Sens. Mater., Vol. 33, No. 9, 2021, p. 3283-3293.



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