Comparative Analysis of Temporal Segmentation Methods of Video Sequences

Background

Specifically among the works directly related to this chapter, analysis of efficiency of segmentation methods has been carried out recently. A comparative analysis of BG methods and its variations are frequent in the literature. It is worth mentioning the works of El Baf et al. (El Baf, 2007) and Hall et al. (Hall, 2005) in which a comparison of BG Simple Gaussian, Mixture of Gaussians, Kernel Density Estimation, W4 (Haritaoglu, 2000) and LOTS method (based on different background models) can be found. Also, Benezeth et al. (Benezeth, 2010) perform a wide comparison with an extensive database of sequences and methods based on the BG. Interesting analysis of contour based methods has been carried out by VenuGopal et al. (VenuGolap, 2011) and Arbelaez et al. (Arbelaez, 2009). These works compare segmentation based on border extraction methods including Canny, Sobel and Laplacian of Gaussians. A comparison of parametric and non-parametric methods was proposed by Herrero et al. (Herrero, 2009). Basic methods (Temporal differencing, Median filter), parametric (Simple, Mixture of Gaussians and Gamma algorithm), and non-parametric methods (Histogram-based approach, Kernel Density Estimation) were analyzed concluding that parametric methods have the best results but they have problems to properly adjust the parameters. Finally, it is interesting to mention the comparative of region and contour based methods proposed by Zhang (Zhang, 1997).