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/

Global: Zendy Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Surveillance based on Computer Vision has become a major necessity in currentera. Most of the surveillance systems operate on visible light imaging, butperformance based on visible light imaging is limited due to some factors likevariation in light intensity during the daytime. The matter of concern lies inthe need for processing images in low light, such as in the need of nighttimesurveillance. In this paper, we have proposed a novel approach for humandetection using FLIR(Forward Looking Infrared) camera. As the principleinvolves sensing based on thermal radiation in the Near IR Region, it ispossible to detect Humans from an image captured using a FLIR camera even inlow light. The proposed method for human detection involves processing ofThermal images by using HOG (Histogram of Oriented Gradients) featureextraction technique along with some enhancements. The principle of theproposed technique lies in an adaptive background subtraction algorithm, whichworks in association with the HOG technique. By means of this method, we areable to reduce execution time, precision and some other parameters, whichresult in improvement of overall accuracy of the human detection system.

Human Detection for Night Surveillance using Adaptive Background Subtracted Image