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	<title>Отслеживание объектов посредством адаптивного прогнозирования начальной точки поиска на мобильных устройствах Archives &#8212; MATLAB Number ONE</title>
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		<title>Object tracking via adaptive prediction of initial search point on mobile devices</title>
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		<pubDate>Tue, 03 Apr 2018 08:33:41 +0000</pubDate>
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					<description><![CDATA[<p>Common feature tracking algorithms, such as SIFT and SURF, are fairly slow in runtime due to the processing of a large amount of external data. If the object is sufficiently small, outside noise may throw off the object detection device without prior knowledge. Machine learning, especially Markov chains, can use prior knowledge to turn a computationally expensive task into [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/java-code/object-tracking-via-adaptive-prediction-of-initial-search-point-on-mobile-devices/">Object tracking via adaptive prediction of initial search point on mobile devices</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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