Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework

Martin Jaszewski; Shibin Parameswaran; Eric Hallenborg; Bryan Bagnall

doi:10.1117/12.2175585

4 March 2015 Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework

Martin Jaszewski, Shibin Parameswaran, Eric Hallenborg, Bryan Bagnall

Author Affiliations +

Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 94070Y (2015) https://doi.org/10.1117/12.2175585
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

We present an initial target detection performance evaluation system for the RAPid Image Exploitation Resource (RAPIER) Full Motion Video (RFMV) maritime target tracking software. We test and evaluate four statistical target detection methods using 30 Hz full motion video from aerial platforms. Using appropriate algorithm performance criteria inspired by the PASCAL Visual Object Classes (VOC) Challenge, we address the tradeoffs between detection fidelity and computational speed/throughput.

Citation Download Citation

Martin Jaszewski, Shibin Parameswaran, Eric Hallenborg, and Bryan Bagnall "Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070Y (4 March 2015); https://doi.org/10.1117/12.2175585

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