Unsupervised object candidate discovery for activity recognition als von
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Unsupervised object candidate discovery for activity recognition (2017)
DE PB NW
ISBN: 9783745010725 bzw. 3745010728, in Deutsch, Epubli Aug 2017, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Object knowledge is an important cue to distinguish between human activities, but nevertheless usually disregarded in video-based activity recognition systems. In contrast, the aim of this work is to explore ways how to boost activity recognition performance by augmenting motion features with object information. Instead of relying on supervised detectors, the proposed object representation is motivated by a key mechanism of visual perception: saliency detection. Saliency detection serves as a gating mechanism selecting which information to process. It thus allows us, humans, to focus our visual attention on certain regions even before we identify them as actual objects. The proposed proto-object features are based on computational models implementing such an attentional process making the representation independent of statistical knowledge about objects. A major advantage of the present approach is, therefore, its ability to be transferred across domains without the explicit necessity of learning new object models. 208 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Object knowledge is an important cue to distinguish between human activities, but nevertheless usually disregarded in video-based activity recognition systems. In contrast, the aim of this work is to explore ways how to boost activity recognition performance by augmenting motion features with object information. Instead of relying on supervised detectors, the proposed object representation is motivated by a key mechanism of visual perception: saliency detection. Saliency detection serves as a gating mechanism selecting which information to process. It thus allows us, humans, to focus our visual attention on certain regions even before we identify them as actual objects. The proposed proto-object features are based on computational models implementing such an attentional process making the representation independent of statistical knowledge about objects. A major advantage of the present approach is, therefore, its ability to be transferred across domains without the explicit necessity of learning new object models. 208 pp. Englisch.
2
Symbolbild
Unsupervised object candidate discovery for activity recognition (2017)
DE PB NW
ISBN: 9783745010725 bzw. 3745010728, in Deutsch, Epubli Aug 2017, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - Object knowledge is an important cue to distinguish between human activities, but nevertheless usually disregarded in video-based activity recognition systems. In contrast, the aim of this work is to explore ways how to boost activity recognition performance by augmenting motion features with object information. Instead of relying on supervised detectors, the proposed object representation is motivated by a key mechanism of visual perception: saliency detection. Saliency detection serves as a gating mechanism selecting which information to process. It thus allows us, humans, to focus our visual attention on certain regions even before we identify them as actual objects. The proposed proto-object features are based on computational models implementing such an attentional process making the representation independent of statistical knowledge about objects. A major advantage of the present approach is, therefore, its ability to be transferred across domains without the explicit necessity of learning new object models. 208 pp. Englisch.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - Object knowledge is an important cue to distinguish between human activities, but nevertheless usually disregarded in video-based activity recognition systems. In contrast, the aim of this work is to explore ways how to boost activity recognition performance by augmenting motion features with object information. Instead of relying on supervised detectors, the proposed object representation is motivated by a key mechanism of visual perception: saliency detection. Saliency detection serves as a gating mechanism selecting which information to process. It thus allows us, humans, to focus our visual attention on certain regions even before we identify them as actual objects. The proposed proto-object features are based on computational models implementing such an attentional process making the representation independent of statistical knowledge about objects. A major advantage of the present approach is, therefore, its ability to be transferred across domains without the explicit necessity of learning new object models. 208 pp. Englisch.
3
Unsupervised object candidate discovery for activity recognition
DE NW
ISBN: 9783745010725 bzw. 3745010728, in Deutsch, neu.
Lieferung aus: Deutschland, Lieferzeit: 7 Tage.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
Unsupervised object candidate discovery for activity recognition (2017)
EN PB NW
ISBN: 9783745010725 bzw. 3745010728, in Englisch, 208 Seiten, 2. Ausgabe, epubli, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei.
Von Händler/Antiquariat, buch-und-spiel24.
Taschenbuch, Ausgabe: 2, Label: epubli, epubli, Produktgruppe: Book, Publiziert: 2017-08-12, Studio: epubli.
Von Händler/Antiquariat, buch-und-spiel24.
Taschenbuch, Ausgabe: 2, Label: epubli, epubli, Produktgruppe: Book, Publiziert: 2017-08-12, Studio: epubli.
5
Unsupervised object candidate discovery for activity recognition als von
DE HC NW
ISBN: 9783745010725 bzw. 3745010728, in Deutsch, epubli, gebundenes Buch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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