Aquarium usually provides the visitors with pictures and some description of the fishes in the exhibition tank. In this paper, an intelligent fish recognition system using computer vision is proposed to help aquarium to educate people about the fishes in the tank. The designed system provides a convenient and friendly interface to help the users to retrieve the related fish information they are interested. The system includes three SUb-systems: (1) fish object detection system (2) fish object tracking system (3) fish object recognition system. Two types of fish indexing system (offline and real time) have been designed and implemented.Tank fish recongniton; object detection; object tracking; computer vision(key words) 1.
In practical use, objects in still images and videos are easy to misappropriate with handy image-processing tools and need to be protected. However, the few proposals for object watermarking suffer from resynchronization problems. In this study, we develop an object-based watermarking method based on efficient segmentation using lines parallel and perpendicular to two principal axes in the spatial domain. A patchlike scheme is designed to embed and extract invisible watermarks. In contrast with the previous object-based watermarking schemes, extra information for resynchronization is not required to be stored in our method. Experimental results show the robustness of the proposed method against many kinds of geometrical attacks.
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