Invariant Color Model-Based Shadow Removal in Traffic Image and a New Metric for Evaluating the Performance of Shadow Removal Methods

Soh, Young Sung; Lee, Hwanju; Wang, Yakun

doi:10.1007/978-3-540-36668-3_58

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Cited by 7 publications

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“…In recent years, many works have been studied to detect moving shadows [1][2][3][4][5]10]. Specially, Cucchiara et al [1] utilized color information in HSV space for shadow detection.…”

Section: Introductionmentioning

confidence: 99%

Moving Shadow Detection Method Using Logistic Regression

Yang

Dai

et al. 2014

AMM

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We present a novel moving shadow detection method using logistic regression in this paper. First, several types of features are extracted from pixels in foreground images. Second, the logistic regression model is constructed by random pixels selected from video frames. Finally, for a new frame in one video, we take advantage of the constructed regression model to implement the classification of moving shadows and objects. To verify the performance of the proposed method, we test it on several different surveillance scenes and compare it with some well-known methods. Extensive experimental results indicate that the proposed method not only can separate moving shadows from moving objects accurately, but also is superior to several existing methods.

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“…In recent years, many works have been studied to detect moving shadows [1][2][3][4][5]10]. Specially, Cucchiara et al [1] utilized color information in HSV space for shadow detection.…”

Section: Introductionmentioning

confidence: 99%