This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Mehmet Kocamaz: Innovator in Object Detection Technology
Introduction
Mehmet Kocamaz is a notable inventor based in Newark, DE (US). He has made significant contributions to the field of object detection, particularly through his innovative methods that utilize depth and texture data. His work is instrumental in advancing technologies that can detect individuals in various environments.
Latest Patents
Kocamaz holds a patent for a method titled "Method for detecting persons using 1D depths and 2D texture." This method involves detecting an object in a scene by first determining an active set of window positions from depth data. The depth data is acquired by a depth sensor, and the method includes several steps such as assigning a window size based on the depth data, selecting a current window from the active set, and extracting joint features from both depth and texture data. The classifier used in this method is trained with features extracted from training data, which includes both depth and texture data. This innovative approach allows for effective detection of objects, specifically persons, in various settings.
Career Highlights
Mehmet Kocamaz is currently employed at Mitsubishi Electric Research Laboratories, Inc. His work at this esteemed organization has allowed him to collaborate with other talented professionals in the field.
Collaborations
One of his notable coworkers is Fatih M Porikli, with whom he has likely shared insights and expertise in the realm of object detection technologies.
Conclusion
Mehmet Kocamaz's contributions to the field of object detection through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the development of systems that enhance the ability to detect individuals in various environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
