Emerging Researchers National (ERN) Conference

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Using OPENCV to Track Objects and Calculate Distance

Undergraduate #241
Discipline: Computer Sciences and Information Management
Subcategory: Computer Science & Information Systems

Benjamin N. Standfield - Virginia State University

Using computers to analyze videos and images is becoming more dominant in society today. It is now used widely in by organizations such as the FBI, United States military, and many technology companies for objectives such as facial recognition and object detection. The purpose of this project is to have a camera both track an object’s location real-time and calculate the object’s distance from the camera’s lens. This was done with a laptop to program and operate the camera, a 9 inch battery to track, and a Carl Zeiss Tessar 2.0 3.7 2mp autofocus Logitech webcam to record video. The results showed an initial accuracy of more than 99%, but dropped to roughly 80% accuracy at 5 meters. Through the use of bilinear interpolation in the program, the accuracy was initially more than 99%, and dropped to 98% at 5 meters.

Funder Acknowledgement(s): HBCU UP/LSAMP Internship Program

Faculty Advisor: Jinmyun Jo, benjaminstandfield@gmail.com

Role: In this project, I made the program, performed the experiment, and analyzed the results.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.