Portal de Periódicos da CAPES

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

2015; SPIE; Volume: 9407; Linguagem: Inglês

10.1117/12.2175585

1996-756X

Martin Jaszewski, Shibin Parameswaran, Eric Hallenborg, Bryan Bagnall,

Remote-Sensing Image Classification

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.