Method for Selecting Objects in Images Obtained from Unmanned Aerial Vehicles

The problem of semi-automatic object extraction for visual scene images was solved. The possibility of implementation of a model-free approach to object extraction using low-level image segmentation methods was demonstrated. The analysis of drawbacks of the basic methods for image segmentation, that limit their application in the developed automatic tracking algorithm of the video stream processing system for unmanned aerial vehicles (UAVs) was conducted. The algorithm for extracting an object in the image by superpixel merging was proposed. The testing results with real and synthetic images for the proposed algorithm were presented.

[1]  Dorin Comaniciu,et al.  Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Kannan,et al.  ON IMAGE SEGMENTATION TECHNIQUES , 2022 .

[3]  Sergei Vassilvitskii,et al.  k-means++: the advantages of careful seeding , 2007, SODA '07.

[4]  Ronald Fedkiw,et al.  Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.

[5]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[6]  P. A. Fedorov,et al.  Algorithm For Stabilizing Video Images , 2020, 2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF).

[7]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[8]  Serge Beucher,et al.  Use of watersheds in contour detection , 1979 .

[9]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Zhengqin Li,et al.  Superpixel segmentation using Linear Spectral Clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Roland Siegwart,et al.  BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.

[12]  Jiri Matas,et al.  P-N learning: Bootstrapping binary classifiers by structural constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Zdenek Kalal,et al.  Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Abdol-Reza Mansouri,et al.  Region Tracking via Level Set PDEs without Motion Computation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  智一 吉田,et al.  Efficient Graph-Based Image Segmentationを用いた圃場図自動作成手法の検討 , 2014 .

[16]  Jean Cousty,et al.  A Hierarchical Image Segmentation Algorithm Based on an Observation Scale , 2012, SSPR/SPR.

[17]  Joonki Paik,et al.  Video Stabilization Using Kalman Filter and Phase Correlation Matching , 2005, ICIAR.

[18]  Chunming Li,et al.  Level set evolution without re-initialization: a new variational formulation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[19]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[20]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.