Challenges in video based object detection in maritime scenario using computer vision
It addresses the problem of maritime surveillance and navigation for researchers and practitioners, but is incremental as it primarily reviews existing challenges without proposing new solutions.
This paper identifies the technical challenges in applying computer vision to video-based object detection in maritime scenarios, including horizon detection, frame registration, background subtraction, and object detection difficulties due to dynamic backgrounds, lack of static cues, small distant objects, and illumination effects.
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.