Effective Background and Foreground Segmentation Using Unsupervised Frequency Domain Clustering

Shreya Kapoor; Manu S. Pillai; Ashish Nagpal

doi:10.1007/978-981-15-9712-1_8

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Effective Background and Foreground Segmentation Using Unsupervised Frequency Domain Clustering

Shreya Kapoor Manu S. Pillai Ashish Nagpal

Year: 2021 Lecture notes in networks and systems Pages: 77-87 Publisher: Springer International Publishing

DOI: 10.1007/978-981-15-9712-1_8

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Keywords:

Artificial intelligence Frequency domain Smoothing Computer science Cluster analysis Background subtraction Computer vision Pattern recognition (psychology) Pixel Domain (mathematical analysis) Image segmentation Image (mathematics) Segmentation Fast Fourier transform Mathematics Algorithm

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Effective Background and Foreground Segmentation Using Unsupervised Frequency Domain Clustering

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