Cogun, F.Çetin, A. Enis2016-02-082016-02-0820131729-8806http://hdl.handle.net/11693/21116Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum-based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made. © 2013 Cogun and Cetin; licensee InTech.English1-D cepstrum2-D cepstrumCepstral analysisMoving shadowsShadow detectionBenchmark testsCepstral analysisCepstrumIntelligent video processingMisclassificationsMoving shadow detectionMoving shadowsObject TrackingQuantitative metricsShadow detectionsVideo sequencesBenchmarkingPixelsVideo signal processingImage segmentationArticle10.5772/52942