A Fast Algorithm for Real-time Video Tracking

This paper proposes an algorithm for real-time video tracking and discusses its application to automatic vehicle watching system. Recent research posits two popular methods for video tracking: background statistical modeling and image difference. The proposed algorithm called adaptive hybrid differe...

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Bibliographic Details
Published inWorkshop on Intelligent Information Technology Application (IITA 2007) pp. 120 - 124
Main Authors Shi Shi-xu, Zheng Qi-lun, Huang Han
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
Algorithm design and analysis
Application software
Brightness
Computer science
Educational institutions
High definition video
Information technology
Intelligent transportation systems
Intelligent vehicles
Real time systems
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Summary:This paper proposes an algorithm for real-time video tracking and discusses its application to automatic vehicle watching system. Recent research posits two popular methods for video tracking: background statistical modeling and image difference. The proposed algorithm called adaptive hybrid difference (AHD) algorithm is designed as an improvement of the methods. AHD algorithm uses a hybrid difference strategy to optimize the image building and runs within an adaptive threshold setting based on Gaussian distribution. The experimental results indicate that AHD algorithm performs more effective and applicable than the two popular methods in the video tracking of fast-moving rigid objects.
ISBN:9780769530635
076953063X
DOI:10.1109/IITA.2007.20