000			01631nam a22002537a 4500
008			130924b2013 ph ||||| |||| 00| 0 eng d
022			_a2012-0761
082			_221 _a050/Ab91
085			_aAI 050/Ab91
089			_221 _aAI 050/Ab91
100			_aAbu, Patricia Angela R.
245			_aA Monte-Carlo-based algorithm for background generation./
246			_aPhilippine Information Technology Journal.
300			_avol. 6, 8 tables, 7 figs, refs.
362			_avol. 6: no. 1 (February, 2013): 4-10.
520			_aIn this study, a Monte-Carlo-based algorithm, named CRF, was developed for generating background images from a video sequence. This algorithm is a variant of the Teknomo-Fernandez (TF) algorithm, an efficient background generation algorithm that also incorporates the Monte-Carlo concept and applies simple logical bit operations. Two different configurations of CRF were implemented, i.e. CRF .2 and CRF 81.1. A brute force algorithm that generates the ground truth using modal pixel bit values was also developed in order to analyze the empirical performances of the TF algorithm and the 2 CRF configurations. Experiments on some colored video tests show that the CRF configurations outperform the TF algorithm in terms of accuracy. However, the TF algorithm remains more efficient in terms of processing time.
650			_aIMAGE PROCESSING AND COMPUTER VISION-SCENE ANALYSIS.
650			_aPROBABILITY AND STATISTICS-PROBABILISTIC ALGORITHMS.
700			_aChu, Varian Sherwin.
700			_aFernandez, Proceso.
942			_2ddc _cPER
999			_c4316 _d4316
040			_cLearning Resource Center