Illumination independent change detection for real world image sequences
Computer Vision, Graphics, and Image Processing
Introduction to the Special Section on Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Change-Detection Algorithm Based on Structure and Colour
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Statistical change detection with moments under time-varying illumination
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
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Due to a large number of applications in various disciplines, including surveillance, remote sensing, medical diagnosis and treatment, measurement of crop development and land erosion, civil infrastructure, and underwater sensing, there is a wide spread interest in detecting regions of change in multiple images of the same scene taken at different times. This paper presents a systematic survey on modern change detection algorithms, including background subtraction, shading model and circular shift moments. We also compare the performance of various algorithms based on computational cost, time varying illumination and noisy environment as the real world images are very much affective to these conditions.