SLIC Superpixel Target Tracking Method Based on Uniform Random

被引：0

作者：

Yan, Kai ^{[1
]}

Dong, Qian ^{[1
]}

Sun, Tingting ^{[2
]}

Zhang, Siyuan ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Informat Ctr, Chengdu, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Lib, Chengdu, Sichuan, Peoples R China

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2017) | 2017年

关键词：

Superpixel; SLIC; target tracking; uniform random; image; segmentation;

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：

In order to improve the superpixel generation rate and boundary adhesion to achieve an effect superpixel target tracking, this paper proposed an improved SLIC superpixel algorithm based on uniform random for target tracking. Improved SLIC superpixel target tracking algorithm used uniform random method to extract SLIC superpixel characteristics, so that the redundant cluster center and algorithm complexity were reduced. Moreover, the improved algorithm achieved a more effective tracking with variable window, and it could deal with fuzzy images during tracking effectively. The experiments proved that the improved algorithm had a good performance in most well-known video sequences.

引用

页码：354 / 359

页数：6

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