English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

A motion detection method based on optical flow and self-adaptive threshold segmentation is proposed in this paper. Optical flow is calculated from image sequences firstly, and then is normalized to a gray image. A binary image is got by Otsu method from normalized gray image. An adaptive window is obtained from binary image. Otsu method is used again to obtain a binary image from window image. Noise is removed by close operation from the window binary image and moving object area is found out. Experimental results show that this method is suitable and effective

Motion Detection Based on Optical Flow and Self-adaptive Threshold Segmentation