Synonyms
Definition
A determination that there are significant differences between visual scenes
Background
Change detection is a key task for computer vision algorithms. The goal is to compare two or more visual scenes and report any significant differences between scenes. As with many vision tasks, the meaning of significant is application-dependent. The change detection task can be rendered less ambiguous by considering the types of changes that are not typically of interest. Examples of changes that are usually irrelevant are:
different camera viewpoint
varying illumination
wind-based motion, e.g., vegetation and flags
weather, e.g., snow and rain
The implementation of algorithms that can detect interesting changes while ignoring trivial changes such as these is a very difficult problem, and only quite limited change detection capabilities have achieved to date. It is also the case that the change detection task, when viewed broadly, overlaps the scope of many...
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References
Congalton R, Green K (2009) Assessing the accuracy of remotely sensed data: principles and practices, 2nd edn. CRC Press, Boca Raton
Zhang C, Wei S, Ji S, Lu M (2019) Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification. ISPRS Int J Geo-Inf 8:189
Daudt R, Le Saux B, Boulch A, Gousseau Y (2019) Multitask learning for large-scale semantic change detection. arXiv:1810.08452v2 [cs.CV] 28 Aug 2019
Lim K, Jin K, Kim C (2018) Change detection in high resolution satellite images using an ensemble of convolutional neural networks. In: Proceedings, APSIPA annual summit and conference
Stauffer C, Grimson W (1999) Adaptive background mixture models for real-time tracking. In: Proceedings of the international conference on computer vision and pattern recognition, vol 24, pp 6–252
Girardeau-Montau D, Roux M, Marc R, Thibault G (2005) Change detection on points cloud data acquired with a ground laser scanner. In: Proceedings of the international society for photogrammetry and remote sensing, Working Groups, III/3, III/4, V/3. Laser scanning workshop
Carlotto MJ (2005) Detection and analysis of change in remotely sensed imagery with application to wide area surveillance. IEEE Trans Image Process 6:189–202
Ulusoy O, Mundy J (2014) Image-based 4-d reconstruction using 3-d change detection. In: Proceedings European conference on computer vision
Ulusoy O (2014) Probabilistic and volumetric reconstruction of time-varying 3-d scenes from multi-view images. Ph.D. Thesis Brown University
Pollard T (2009) Comprehensive 3-d change detection using volumetric appearance modeling. Ph.D. Thesis Brown University
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Mundy, J. (2021). Change Detection. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_214-1
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DOI: https://doi.org/10.1007/978-3-030-03243-2_214-1
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