[1]夏磊,张明. 篮球赛事视频镜头分割[J].计算机技术与发展,2015,25(02):216-220.
　XIA Lei,ZHANG Ming. Shot Segmentation of Basketball Tournament Video[J].,2015,25(02):216-220.
点击复制

 篮球赛事视频镜头分割()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年02期
页码:
216-220
栏目:
应用开发研究
出版日期:
2015-02-10

文章信息/Info

Title:
 Shot Segmentation of Basketball Tournament Video
文章编号:
1673-629X（2015)02-0216-05
作者:
 夏磊; 张明
 上海海事大学 信息工程学院
Author(s):
 XIA Lei;  ZHANG Ming
关键词:
 ; 镜头分割; Canny边界; 三分线; 弯曲方向
Keywords:
 ; shot segmentation; Canny border; three-point line; bending direction
分类号:
TP37
文献标志码:
A
摘要:
 针对篮球赛事视频分割问题，提出一种基于场地三分线的新分割算法。首先提取出帧图像的Canny边界，再对提取到的结果进行优化去杂；接着在优化过的边界中搜寻三分线并记录下三分线上点的坐标；然后根据这些点的坐标来判断三分线的弯曲方向，将其作为后续分割的依据。基于以上算法，以Microsoft Visual Studio 2010与OpenCV2.3为开发平台，实现了一个篮球赛事视频镜头分割的原型系统，并通过该系统验证了新方法在正确检出和漏检方面的优势。虽然不是很明显，但是在误检方面的优势很显然。
Abstract:
 In view of basketball tournament video segmentation,propose a new segmentation algorithm based on the three-point line. First,the Canny boundary of frame image is extracted and optimized,and then the three-point line has been searched with the coordinates of those points recorded which determine the bending direction of the three-point line and could be used as the basis for the subsequent split. By the development platform of Microsoft Visual Studio 2010 and OpenCV2. 3,a prototype system of basketball tournament video shot segmentation has been achieved,which verifies that the new method’ s advantage is not obvious in terms of being correctly detected and undetected,but it’ s notable in terms of false detection.

相似文献/References:

[1]汪翔 罗斌 翟素兰[] 涂铮铮.基于颜色空间的自适应阈值镜头分割算法[J].计算机技术与发展,2012,(09):37.
　WANG Xiang,LUO Bin,ZHAI Su-lan,et al.Self-threshold Shot Segmentation Based on Color Space[J].,2012,(02):37.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(02):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(02):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(02):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(02):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(02):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(02):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(02):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(02):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(02):43.

更新日期/Last Update: 2015-04-30