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Research Paper | Computer Science Engineering | Volume 7 Issue 6, June 2018 | Pages: 911 - 912 | India
To Design and Develop Grid Object Detection System
Abstract: a method to detect and identify multiple objects in an image using grid voting of object center positions estimated from local descriptor keypoint matches. For each keypoint match, the proposed method estimates the object center position using scale and orientation associated with the keypoints. Then, it casts a vote for an image grid where the estimated object center is located. For the grids with high number of votes, geometric verification of the keypoint matches is carried out to accurately localize multiple objects in the image. .
Keywords: Sift feature, feature extraction, Object detection, matching
How to Cite?: Shubhangi S. Yengalwar, "To Design and Develop Grid Object Detection System", Volume 7 Issue 6, June 2018, International Journal of Science and Research (IJSR), Pages: 911-912, https://www.ijsr.net/getabstract.php?paperid=ART20182894, DOI: https://dx.dx.doi.org/10.21275/ART20182894