Object Detection Using SURF and Superpixels
نویسندگان
چکیده
منابع مشابه
Real-time Moving Object Detection using SURF
Tracking and traffic monitoring are main application of moving Object detection in video. This paper presents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference. The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate in background subtraction method. SURF is having fast processing technique to...
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This paper presents a method for identifying and matching objects within an image scene. Recognition of this type is becoming a promising field within computer vision with applications in robotics, photography, and security. This technique works by extracting salient features, and matching these to a database of pre-extracted features to perform a classification. Localization of the classified ...
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This paper proposes an object recognition approach intended for extracting, analyzing and clustering of features from RGB image views from given objects. Extracted features are matched with features in learned object models and clustered in Hough-space to find a consistent object pose. Hypotheses for valid poses are verified by computing a homography from detected features. Using that homograph...
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Mean-Shift tracking is primarily used for carrying out localized search on an image frame using colour histograms. The application of mean-shift tracking directly to SURF features is limited due to the unavailability of sufficient number of key points for a given object. This paper proposes a method called re-projection to overcome this limitation so that the mean-shift algorithm can be used di...
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The determination of Region-of-Interest has been recognised as an important means by which unimportant image content can be identified and excluded during image compression or image modelling, however existing Region-of-Interest detection methods are computationally expensive thus are mostly unsuitable for managing large number of images and the compression of images especially for real-time vi...
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2013
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2013.69061