Object Tracking with Multiple Instance Learning and Gaussian Mixture Model
نویسندگان
چکیده
منابع مشابه
Moving Object Tracking using Gaussian Mixture Model and Optical Flow
In this paper, we propose a new tracking method that uses Gaussian Mixture Model (GMM) and Optical Flow approach for object tracking. The GMM approach consists of three different Gaussian distributions, the average, standard deviation and weight respectively. There are two important steps to establish the background for model, and background updates which separate the foreground and background....
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ژورنال
عنوان ژورنال: Journal of Information and Computational Science
سال: 2015
ISSN: 1548-7741
DOI: 10.12733/jics20106217