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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper proposes a method to extract color information based on the feature area of a person’s shape and how to use the information to track the target human from in real time. In this research, we perform the recognition through optimization and finding the solution using Genetic-Algorithm(GA), and the evaluation of the form of subjects using Model-based matching method. The parameters of shape and the color of the model are used to search in the gene of GA as a newly obtained information of that tracking human. Then the search model is continuousiy changed to the shape of the terget human to reflect and adapt to the individual feature in the dynamic image. It is shown that our method is able to extract the several features automatically by tracking experiments to human.

2P2-B20 Human Feature Extraction and Automatic Tracking Using Evolving Models