Research Article
Top-Down and Bottom-Up Cues Based Moving Object Detection for Varied Background Video Sequences
Table 2
Comparison of time analysis of proposed approaches.
| Method name | Execution time (sec) |
| Modified frequency tuned spatial model I | 0.842 | Visual saliency based on colour image (colour saliency [38]) | 0.670 | Gaussian spatial model by coalescing Laplacian of Gaussian (LoG) filter and Gaussian filter | 0.68 | Gradient saliency by utilizing Sobel operator | 0.620 | Modified frequency tuned spatial model II | 1.360 | Integrating colour saliency with texture feature (local binary pattern (LBP)) | 0.7 | Integrating modified frequency tuned spatial model I with histogram of oriented gradient (HOG) | 0.849 | Gaussian mixture model (GMM) | 1.560 | Kernel density estimation (KDE) | 1.489 |
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