Embedded Files
Journal Publications (Under Review):
S. Arthanari, D. Elayaperumal, and Y. H. Joo, “Learning temporal regularized spatial-aware deep correlation filter tracking via adaptive channel selection,” Neural Networks, (Impact Factor - 7.8) (Under Review)
D. Elayaperumal, J. H. Jeong, and Y. H. Joo, “Self-supervised one-shot learning for automatic segmentation in dynamic environments,” Computer Vision and Image Understanding, (Impact Factor - 4.5). (Submitted)
D. Elayaperumal and Y. H. Joo, “Learning sparse spatio-temporal attribute-aware correlation filter tracking via rank-based surrounding strategy,” Applied Soft Computing, (Impact Factor - 8.7). (Under review)
Journal Publications (Published):
D. Elayaperumal and Y. H. Joo, “Aberrance suppressed spatio-temporal correlation filters for visual object tracking, ” Pattern Recognition, vol. 115, p. 107 922, 2021 (Impact Factor - 8.0).
For More Details
D. Elayaperumal and Y. H. Joo, “Learning spatial variance-key surrounding-aware tracking via multi-expert deep feature fusion,” Information Sciences, vol. 629, pp. 502–519, 2023 (Impact Factor - 8.1).
For More Details
D. Elayaperumal and Y. H. Joo, “Robust visual object tracking using context-based spatial variation via multi-feature fusion,” Information Sciences, vol. 577, pp. 467–482, 2021 (Impact Factor - 8.1).
For More Details
D. Elayaperumal and Y. H. Joo, “Visual object tracking using sparse context-aware spatio-temporal correlation filter,” Journal of Visual Communication and Image Representation, vol. 70, p. 102 820, 2020 (Impact Factor - 2.6).
For More Details
D. Elayaperumal and Y. H. Joo, “Robust swarm formation for multiple nonholonomic two-wheeled mobile robots using leader–follower approach via sliding mode controller and neural dynamic model,” Journal of Electrical Engineering & Technology, vol. 18, no. 3, pp. 2245–2252, 2023 (Impact Factor - 1.9).
For More Details
Domestic & International Conferences (Published):
S. Arthanari, D. Elayaperumal, Y. H. Joo, and Y. M. Koo, “Learning temporal regularized spatial-aware correlation filter for visual object tracking,” in Korean Society of Electronic Engineers conference (Conference proceedings), DBpia, 2022, pp. 120–121.
D. Elayaperumal and Y. H. Joo, “Sliding mode control for wheeled mobile robots with application in deep learning-based object tracking,” in Journal of Information and Control (ICS Conference Proceedings), DBpia, 2021, pp. 183–185.
D. Elayaperumal, K. Palanimuthu, J. S. Choi, and Y. H. Joo, “Robust moving object tracking guider using correlation filter for robot surveillance,” in Proceedings of the Korean Institute of Electrical Engineers conference (KIEE), DBpia, 2019, pp. 1593–1594.
D. Elayaperumal, M. H. Tak, G. M. Ryu, and Y. H. Joo, “Adaptive fusion-based deep convolutional features for visual object tracking,” in Journal of Information and Control (ICS Conference Proceedings), DBpia, 2019, pp. 66–67.
S. Moorthy, D. Elayaperumal, S. K. Kim, and Y. H. Joo, “Subspace-based background subtraction for moving object detection in swarm robot video surveillance,” in Proceedings of the Korean Institute of Electrical Engineers conference (KIEE), DBpia, 2019, pp. 1585–1586.
D. Elayaperumal, S. Moorthy, V. Manoharan, and T. Mohanraj, “Instinctive classification of alzheimer’s disease using FMRI, PET and SPECT images,” in 2013 7th International Conference on Intelligent Systems and Control (ISCO), IEEE, 2013, pp. 405–409.
S. Moorthy, D. Elayaperumal, and T. MohanRaj, “Involuntary diagnosis of intraductal breast images using gaussian mixture model,” in 2012 International Conference on Machine Vision and Image Processing (MVIP), IEEE, 2012, pp. 113–116.
Google Sites
Report abuse