An adaptive center of mass detection system employing a 2-D dynamic element matching algorithm for object tracking

Alexander Fish, Dmitry Akselrod, Orly Yadid-Pecht

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

An adaptive high precision image object centroid - center of mass (COM) detection system employing a 2-D dynamic element matching (DEM) algorithm for object tracking is presented. This proposed system outputs a high resolution COM location of the most salient object in the field of view for tracking and navigation purposes and is suitable for real time applications. Pre-computation object detection is performed by a low resolution mixed signal winner-take-all (WTA) circuit. In this work, the COM computation algorithm parameters are adaptively changed according to the object size, enabling lowering object scanning frequency, but still providing a high precision in the object COM location. Simulation results prove the concept and demonstrate the high precision COM detection result. In addition, a possible hardware implementation is described.

Original languageEnglish
Pages (from-to)III778-III781
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume3
StatePublished - 14 Jul 2003
EventProceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand
Duration: 25 May 200328 May 2003

Fingerprint

Dive into the research topics of 'An adaptive center of mass detection system employing a 2-D dynamic element matching algorithm for object tracking'. Together they form a unique fingerprint.

Cite this