Company Filing History:
Years Active: 2017-2025
Title: Seyed Ali Etemad: Innovator in Pose Estimation and Activity Recognition
Introduction
Seyed Ali Etemad is a prominent inventor based in Ottawa, Canada. He has made significant contributions to the fields of pose estimation and activity recognition, holding a total of 5 patents. His innovative work employs advanced machine learning algorithms to enhance object detection and user activity recognition.
Latest Patents
Etemad's latest patents include "Systems and methods for pose estimation via radial voting based keypoint localization." This patent discloses methods that facilitate object pose determination through keypoint detection. A machine learning algorithm is utilized to enable voting-based estimation of the locations of at least three keypoints. The algorithm is trained using reference intensity-depth images of an object to determine radial distances between keypoints and 3D scene locations. During inference, the algorithm processes intensity-depth images to generate radial distance estimates, which are then used to create an accumulator space. This process allows for the determination of keypoint locations by identifying peaks in the accumulator space, thereby enabling pose determination.
Another notable patent is "Systems, methods and devices for activity recognition." This patent outlines systems and methods for recognizing user activity using data from accelerometers or other sensors. It describes both feature-based and model-based approaches. In the feature-based approach, various values are extracted from input signals and projected onto a space that enhances data point segregation. Classifiers are then used to identify regions in this projected space to distinguish between different activity types. The model-based approach involves training a generative model for each activity type, allowing for the identification of similarities between input data and the generative models.
Career Highlights
Etemad has worked with notable companies such as Gesturelogic Inc. and Bluewrist Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in his field.
Collaborations
Throughout his career, Etemad has collaborated with talented individuals, including Mark Klibanov and Leonard Maceachern. These collaborations have further enriched his work and contributed to advancements in technology.
Conclusion
Seyed Ali Etemad is a distinguished inventor whose work in pose estimation and activity recognition has made a significant impact in the field. His innovative patents and collaborations reflect his commitment to advancing technology and improving user experiences.