Dilip K. Prasad and C. Krishna Prasath and Deepu Rajan and Lily Rachmawati and Eshan Rajabally and Chai Quek
Challenges in Video Based Object Detection in Maritime Scenario Using Computer Vision
31 - 36
2017
11
1
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10006110
https://publications.waset.org/vol/121
World Academy of Science, Engineering and Technology
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.
Open Science Index 121, 2017