
doi: 10.5772/4953
In this chapter, we have provided a brief overview of the works about moving cast shadow detection. The state-of-the-art methods have been categories into color model, textural model, and geometric model according to the information and model utilized, which have been disscussed systemically. Furthermore, all kinds of statistical models have been employed to tackle the problem, which are also analyzed in detail. From the results, we can see that different method is fit for different situation and it is very hard to get a method in common use. Therefore, the future work may be the fusion of different information by statistical model to realize robust shadow detection.
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
