Tracking of Unique Colored Objects: A Simple, Fast Visual Object Detection and Tracking Technique

Conference paper
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Abstract

Detection and tracking of moving objects in video scenes is the important initial step for extraction of information in many computer vision applications. This idea can be used in video surveillance; industrial quality testing; traffic navigation in the forms of driver assistance, speed monitoring, etc.; human-computer interaction; sports analysis; machinery quality testing; and also in the medical field. Many simple vision problems require fast and accurate tracking. Traditional tracking methods have the disadvantage of too much time consumed by data process, and an object gets undetected under complex background. Several advanced tracking algorithms are in existence, each of them having their own positives and limitations. Nevertheless, many higher-end algorithms also fail for purposes of tracking in simple applications, because of their complexity in performance, impractical time management, and extensive memory usage. In this paper, we are discussing a simple visual tracking algorithm to track and differentiate different colored objects.

Keywords

Visual tracking Region of interest Threshold Moments Saturation points Gaussian kernel 
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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Information TechnologyKarunya UniversityCoimbatoreIndia

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