Mohammad Amir

Papers

Total Citations

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About

Mohammad Amir is a researcher in computer vision and sensing systems, with a focus on developing innovative methods for motion detection and velocity measurement. His work centers on leveraging visual perception principles to create non-contact sensing technologies. His most notable contribution is the concept introduced in his 2020 paper, "Detection of Velocity Based on Change in the Apparent Size," which proposes a novel vision-based system that measures an object's velocity by analyzing changes in its apparent size as it moves relative to an observer. This approach draws on fundamental optical principles—where objects at a finite distance appear smaller than their true dimensions—offering a unique alternative to traditional sensor-based methods. While his citation count is currently modest, with 2 citations for this work, the idea represents a creative intersection of perceptual psychology and engineering. Amir's research holds potential for applications in autonomous navigation, robotics, and surveillance, where passive, vision-driven velocity estimation could reduce reliance on expensive hardware. His work exemplifies how foundational concepts in human vision can inspire practical sensing solutions.