Detection, classification, and tracking of compact objects in video imagery

Mark J. Carlotto; Mark A. Nebrich

doi:10.1117/12.919859

17 May 2012 Detection, classification, and tracking of compact objects in video imagery

Mark J. Carlotto, Mark A. Nebrich

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 83921F (2012) https://doi.org/10.1117/12.919859
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

A video data conditioner (VDC) for automated full-motion video (FMV) detection, classification, and tracking is described. VDC extends our multi-stage image data conditioner (IDC) to video. Key features include robust detection of compact objects in motion imagery, coarse classification of all detections, and tracking of fixed and moving objects. An implementation of the detection and tracking components of the VDC on an Apple iPhone is discussed. Preliminary tracking results of naval ships captured during the Phoenix Express 2009 Photo Exercise are presented.

Citation Download Citation

Mark J. Carlotto and Mark A. Nebrich "Detection, classification, and tracking of compact objects in video imagery", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921F (17 May 2012); https://doi.org/10.1117/12.919859

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