A novel approach for motion segmentation in moving pictures: Centre of Mass Model

被引：0

作者：

Oral, Mustafa ^{[1
]}

Deniz, Umut ^{[2
]}

机构：

[1] Mustafa Kemal Univ, Elekt & Elekt Muhendisligi Bolumu, Antakya, Turkey

[2] Dokuz Eylul Univ, Elekt & Elekt Muhendisligi Bolumu, Izmir, Turkey

来源：

2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel background model for segmentation of moving objects in running images is presented in this paper. The segmentation algorithm is based on the statistics of the current and previous locations of center of mass of super pixels that are the collection of a group of pixels. The algorithm is superior to those previously reported in the literature due to its immunity to sudden illumination changes and slight changes in the intensity distribution functions of the super-pixels. The performance of the Center of Mass Model is compared with previously reported seven different models that were selected from the Background Subtracting Methods and the Statistical Methods.

引用

页码：120 / +

页数：3

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