Non-parametric Model for Background Subtraction
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5,318 citations
4,996 citations
Cites background from "Non-parametric Model for Background..."
...In controlled environments with fixed camera, additional geometric constraints (such as the expected scale) and background subtraction [24] can be exploited to improve the tracking process....
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2,870 citations
Cites background or methods from "Non-parametric Model for Background..."
...However, one could replace it with a more robust but slow detection algorithm such as in [14], [10]....
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...Other methods developed in our laboratory [21], [10] have more sensitivity in detecting foreground regions, but are computationally more intensive....
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...[10] uses a nonparametric background model by estimating the probability of observing pixel intensity values based on a sample of intensity values for each pixel....
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2,738 citations
Cites background or methods from "Non-parametric Model for Background..."
...Year First author Initialisation Tracking Pose estimation Recognition 2003 Allen [15] 2003 Azoz * [22] 2003 Babu [23] 2003 Barron [28] * 2003 Buxton [48] 2003 Capellades [52] * 2003 Carranza * * [53] 2003 Cheung * * [59] 2003 Chowdhury [64] 2003 Chu * [65] 2003 Comaniciu [67] 2003 Cucchiara [69] 2003 Davis [79] 2003 Demirdjian * [87] 2003 Demirdjian * [89] 2003 Efros [94] 2003 Elgammal [95] 2003 Elgammal [96] 2003 Elgammal [99] 2003 Eng [101] * 2003 Foster * [110] 2003 Gerard * [114] 2003 Gonzalez [121] * 2003 Herda * [141] 2003 Jepson [177] 2003 Koschan [197] 2003 Krahnstoever [200] * * 2003 Liebowitz * [219] 2003 Masoud [231] 2003 Mikić * * [238] 2003 Mitchelson [241] 2003 Mitchelson * [242] 2003 Mittal [244] 2003 Moeslund * * [245] 2003 Moeslund * [249] 2003 Moeslund * [250] 2003 Monnet [256] 2003 Parameswaran [277] 2003 Plänkers * [289] 2003 Polat [290] 2003 Prati [293] 2003 Shah [325] * * 2003 Shakhnarovich [326] 2003 Sidenbladh * [333] * 2003 Sminchisescu * [343] 2003 Sminchisescu * [344] 2003 Song [350] * * 2003 Starck [352] * 2003 Störring [357] 2003 Vasvani [375] 2003 Vecchio [376] 2003 Viola [381] 2003 Wang [387] 2003 Wang [388] * * 2003 Wang * * [389] 2003 Wang * [390] 2003 Wang [391] 2003 Wu [398] 2003 Yang [405] 2003 Zhao [419] 2003 Zhong [423] ∑ Total=61 5 22 20 14...
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...Using standard filtering techniques based on connected component analysis, size, median filter, morphology, and proximity can improve the result [69,96,128,232,408,420]....
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...Elgammal et al. [96] use a kernel-based approach where they represent a background pixel by the individual pixels of the last N frames....
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...[96] use a kernel-based approach where they represent a background pixel by the individual pixels of the last N frames....
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...The slow changes in the scene can be updated recursively by including the current pixel value into the model as a weighted combination [69,96,232,354]....
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References
7,660 citations
"Non-parametric Model for Background..." refers background or methods in this paper
...A comparison between the proposed model and a Gaussian mixture model [6, 7 ] was also presented....
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...In this section we describe a set of experiments performed to compare the detection performance of the proposed background model as described in section 2 and a mixture of Gaussian model as described in [6, 7 ]....
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...In [6, 7 ] a generalization to the previous approach was presented....
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4,280 citations
"Non-parametric Model for Background..." refers methods in this paper
...This basic adaptive model is used in [ 1 ], also Kalman filtering for adaptation is used in [2,3,4]....
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1,003 citations
"Non-parametric Model for Background..." refers methods in this paper
...In [ 5 ] a mixture of three Normal distributions was used to model the pixel value for traffic surveillance applications....
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626 citations