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

نویسندگان

  • Dilip K. Prasad
  • C. Krishna Prasath
  • Deepu Rajan
  • Lily Rachmawati
  • Eshan Rajabally
  • Hiok Chai Quek
چکیده

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 horizon detection and registration of frames in a video are very challenging in maritime scenarios. More advanced problems of background subtraction and object detection in video streams are very challenging. Challenges arising from the dynamic nature of the background, unavailability of static cues, presence of small objects at distant backgrounds, illumination effects, all contribute to the challenges as discussed here. Keywords—Autonomous maritime vehicle, object detection, situation awareness, tracking.

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عنوان ژورنال:
  • CoRR

دوره abs/1608.01079  شماره 

صفحات  -

تاریخ انتشار 2016