Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{143413,
        author = {Foram N. Patel and Neha Parmar},
        title = {A Review for Video Mosaicing Using Feature Tracking},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {71-74},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143413},
        abstract = {In recent years, videos/images have become extremely important in our daily life information. Mosaic construction is an active area of research in computer vision. Mosaic is one of the most important tasks in a variety of video processing and analysis applications, by means of which a synthetic representation of successive video frames is constructed. The application of mosaic include virtual reality environments, video compression, video indexing and representation. Video mosaicing is a video processing technique in which multiple images are merged into a composite image that covers a larger, more seamless view than the field of view of the camera. Video mosaicing has been used to generate panoramic pictures in many applications such as tracking, surveillance and augmented reality. Most video mosaicing methods are SIFT feature, SURF feature, Harris corner, MSER Features and so on.  This paper encompasses a description of some feature extraction methods.

},
        keywords = {video mosaicing, sift feature ,surf  feature, affine transform, wrapping.},
        month = {},
        }