has been cited by the following article(s):
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Supervised Machine Learning Approaches for Moving Object Tracking: A Survey
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SN Computer Science,
2022 |
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TRACKING OF MULTIPLE HUMAN OBJECTS USING COMBINATION OF DAUBECHIES COMPLEX WAVELET TRANSFORM AND ZERNIKE MOMENT
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ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING,
2020 |
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[3]
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Small dim object tracking using frequency and spatial domain information
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Pattern Recognition,
2016 |
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[4]
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Tracking of Deformable Object in Complex Video Using Steerable Pyramid Wavelet Transform
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Computational Vision and Robotics,
2015 |
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[5]
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Object tracking using combination of daubechies complex wavelet transform and Zernike moment
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Multimedia Tools and Applications,
2015 |
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[6]
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Tracking of moving object using energy of biorthogonal wavelet transform
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CHIANG MAI JOURNAL OF SCIENCE,
2015 |
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[7]
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Biorthogonal wavelet transform based classification of human object using Adaboost classifier
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Control, Automation and Information Sciences (ICCAIS), 2014 International Conference on,
2014 |
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[8]
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Single change detection-based moving object segmentation by using Daubechies complex wavelet transform
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NULL
2014 |
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[9]
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Single change detection‐based moving object segmentation by using Daubechies complex wavelet transform
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IET Image Processing,
2014 |
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Object Detection and Tracking in Contourlet Domain
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Context-Aware Systems and Applications,
2013 |
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[11]
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An Approach for Object Tracking in Video Sequences
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NULL
2013 |
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[12]
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Multiclass image classification using multiscale biorthogonal wavelet transform
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Image Information Processing (ICIIP), 2013 IEEE Second International Conference on. IEEE,
2013 |
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[13]
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E-assessment for e-learning
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Engineering Education: Innovative Practices and Future Trends (AICERA), 2012 IEEE International Conference on,
2012 |
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[14]
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Moving Object tracking in video sequences based on Energy of Daubechies Complex Wavelet Transform
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National Conference on Communication Technologies & its impact on Next Generation Computing (CTNGC),
2012 |
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Small dim object tracking using frequency and spatial domain information
Pattern Recognition,
2016
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Computational Vision and Robotics
Advances in Intelligent Systems and Computing,
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DOI:10.1007/978-81-322-2196-8_1
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Single change detection-based moving object segmentation by using Daubechies complex wavelet transform
IET Image Processing,
2014
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[4]
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Biorthogonal wavelet transform based classification of human object using Adaboost classifier
The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014),
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DOI:10.1109/ICCAIS.2014.7020557
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Multiclass image classification using multiscale biorthogonal wavelet transform
2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013),
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DOI:10.1109/ICIIP.2013.6707569
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Context-Aware Systems and Applications
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
2013
DOI:10.1007/978-3-642-36642-0_20
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