Yongin, South Korea

Md Delowar Hossain

This inventor holds 1 USPTO granted patent. Top assignee: University-Industry Cooperation Group of Kyung Hee University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Md Delowar Hossain. Retrieved from https://idiyas.com/inventor/md-delowar-hossain

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Md Delowar Hossain and Real-Time Object Detection

Introduction

Md Delowar Hossain is an inventor based in Yongin, South Korea. His patent work focuses on computer vision, particularly detecting and extracting moving objects from video.

Latest Patents

Hossain is associated with 1 patent: “System and Method for Real-Time Object Detection in Video.” The invention describes a method for extracting a moving object from video using an object detection system operated by at least one processor. It receives an unsmoothed frame and, for frames after the first, compares pixel intensities with reference pixels from a background sample extracted from the first frame. The system uses the calculated differences and a predetermined threshold to segment the frame into background and foreground, then extracts the foreground as the object based on a similarity measurement between the reference and frame pixels.

Career Highlights

Hossain is associated with the University-Industry Cooperation Group of Kyung Hee University. His patent reflects work on real-time video analysis and foreground extraction.

Collaborations

His listed coworkers include Md Alamgir Hossain and Dao Tan Tri Nguyen.

Conclusion

Md Delowar Hossain’s patent describes a video-processing approach that identifies moving objects by comparing frame pixels with a reference background, highlighting his contribution to object detection technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…