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