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Adaptive Foreground Object Extraction in Real Time Videos Using Fuzzy C Means with Weber Principle
Published in Indian Society for Education and Environment
Volume: 9
Issue: 29
Objectives: We propose a foreground extraction method for video surveillance system is to detect the objects in real time. Methods: The proposed foreground extraction technique models the background using cluster centroids and optimized using fuzzy-c-means technique. The foreground is extracted using background subtraction. The optical flow is used to eliminate the falsely extracted foreground pixels. Findings: Traditional techniques, cluster centroids are initialized using random values or histogram peaks, but in our proposed system the cluster centroids are initialized using weber principle. Improvement: This proposed real-time foreground extraction approach yields better results than the previous algorithms with respect to quality of extraction and memory consumption.
About the journal
JournalIndian Journal of Science and Technology
PublisherIndian Society for Education and Environment
Open AccessNo