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公开(公告)号：DE112011103690T5
公开(公告)日：2013-09-05
申请号：DE112011103690
申请日：2011-12-15
Applicant: IBM
Inventor： PANKANTI SHARATHCHANDRA UMAPATHIRAO , HAMPAPUR ARUN , LI JUN , OTTO CHARLES
Abstract: Es werden Techniken zur Durchführung der Sichtüberwachung eines oder mehrerer sich bewegender Objekte(s) bereitgestellt. Diese Techniken umfassen das Registrieren eines Bilds oder mehrerer Bilder, die von einer oder mehreren Kamera(s) aufgenommen wurden, wobei das Registrieren des Bilds oder der Bilder aufweist: die regionsbasierte Registrierung des Bilds oder der Bilder in zwei oder mehr benachbarten Einzelbildern, das Durchführen der Bewegungszerlegung des Bilds oder der Bilder, um ein oder mehrere sich bewegende Objekt(e) und eine oder mehrere Hintergrundregion(en) im Bild oder in den Bildern zu erkennen, und das Verfolgen des oder der sich bewegenden Objekte(s), um die Sichtüberwachung des oder der sich bewegenden Objekte(s) zu erleichtern.
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公开(公告)号：GB2496009A
公开(公告)日：2013-05-01
申请号：GB201213099
申请日：2012-07-24
Applicant: IBM
Inventor： LI YING , PALURI BALAMANOHAR , OTTO CHARLES , PANKANTI SHARATHCHANDRA UMAPATHIRAO , FUJIKI YUICHI , HAAS NORMAN
IPC: G06T7/00
Abstract: A system, method, and computer program product are described for detecting anomalies in an image. In an example embodiment the method includes partitioning 304 each image of a set of images into a plurality of image local units. The method further includes clustering 308 all local units in the image set into clusters, and consequently assigning 310 a class label to each local unit based on the clustering results, wherein the local units with identical class labels have at least one substantially related image feature. Further, the method includes assigning 312 a weight to each of the local units based on a variation of the class labels across all images in a set of images. The method further includes performing a clustering over all images in the set, for example by using a distance metric that takes the learned weight of each local unit into account, then determining the images that belong to minorities of the clusters as anomalous.
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公开(公告)号：GB2500839A
公开(公告)日：2013-10-02
申请号：GB201311821
申请日：2011-12-15
Applicant: IBM
Inventor： PANKANTI SHARATHCHANDRA UMAPATHIRAO , HAMPAPUR ARUN , LI JUN , OTTO CHARLES
IPC: G06T7/20
Abstract: Techniques for performing visual surveillance of one or more moving objects are provided. The techniques include registering one or more images captured by one or more cameras, wherein registering the one or more images comprises region-based registration of the one or more images in two or more adjacent frames, performing motion segmentation of the one or more images to detect one or more moving objects and one or more background regions in the one or more images, and tracking the one or more moving objects to facilitate visual surveillance of the one or more moving objects.
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公开(公告)号：GB2496009B
公开(公告)日：2015-03-04
申请号：GB201213099
申请日：2012-07-24
Applicant: IBM
Inventor： LI YING , PALURI BALAMANOHAR , OTTO CHARLES , PANKANTI SHARATHCHANDRA UMAPATHIRAO , FUJIKI YUICHI , HAAS NORMAN
Abstract: A system, method, and computer program product for detecting anomalies in an image. In an example embodiment the method includes partitioning each image of a set of images into a plurality of image local units. The method further includes clustering all local units in the image set into clusters, and consequently assigning a class label to each local unit based on the clustering results. The local units with identical class labels having at least one substantially related image feature. Further, the method includes assigning a weight to each of the local units based on a variation of the class labels across all images in a set of images. The method further includes performing a clustering over all images in the set by using a distance metric that takes the learned weight of each local unit into account, then determining the images that belong to minorities of the clusters as anomalies.
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