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20162020
most citedChallenges in video based object detection in maritime scenario using computer vision

38 citations · 106 across the 8 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CV2016★ 2 cited

Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey

D. K. Prasad, D. Rajan, L. Rachmawati +2

We present a survey on maritime object detection and tracking approaches, which are essential for the development of a navigational system for autonomous ships. The electro-optical…

cs.LG2016

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks

Enmei Tu, Guanghao Zhang, Lily Rachmawati +2

A biological neural network is constituted by numerous subnetworks and modules with different functionalities. For an artificial neural network, the relationship between a network…

cs.CV2016★ 38 cited

Challenges in video based object detection in maritime scenario using computer vision

D. K. Prasad, C. K. Prasath, D. Rajan +3

This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of hori…

cs.DB2016★ 4 cited

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining

Shangbo Mao, Enmei Tu, Guanghao Zhang +3

In recent years, maritime safety and efficiency become more and more important across the world. Automatic Identification System (AIS) tracks vessel movement by onboard transceiver…

cs.OH2016★ 27 cited

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey

Enmei Tu, Guanghao Zhang, Lily Rachmawati +2

The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or sa…