A survey and study on "Vehicle Tracking Algorithms in Video Surveillance System"

被引：0

作者：

Karuppuchamy, S. ^{[1
]}

Selvakumar, R. K. ^{[2
]}

机构：

[1] Manonmaniam Sundaranar Univ, Ctr Informat Technol & Engn, Tirunelveli, Tamil Nadu, India

[2] CVR Coll Engn, Dept Comp Sci & Engn, Hydrabad, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC) | 2017年

关键词：

Vehicle detection; Tracking; Frame difference; Background subtraction; Gaussian mixture; Block matching;

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：

Vehicle detection is one of the segmentation process after that the detected vehicle in one frame to test whether it is presented in the subsequent frames called vehicle tracking. These concepts are essential for traffic management system. There are number of algorithms are developed by different researchers. But they are considered a specific environment condition for implementing the same. During this study, we identify the problem there is an requirement of an algorithmto detect and track the vehicle in all environmental conditions.

引用

页码：1024 / 1027

页数：4

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