Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework
| Autor: | Eric Hallenborg, Martin Jaszewski, Shibin Parameswaran, Bryan Bagnall |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Full motion video Pascal (programming language) Object detection Object-class detection Software Video tracking Computer vision Viola–Jones object detection framework Anomaly detection Artificial intelligence business computer computer.programming_language |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2175585 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|