Title : Multi view based human action recognition and behavior understanding using shape features

Type of Material: Thesis
Title: Multi view based human action recognition and behavior understanding using shape features
Researcher: Gomathi V
Guide: Ramar, K
Department: Faculty of Information and Communication Engineering
Publisher: Anna University
Place: Chennai
Language: English
Subject: Human action recognition triangulated shape orientation context centroid orientation context
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_257176
040__|aANNA_600025|dIN-AhILN
041__|aeng
100__|aGomathi V|eResearcher
110__|aFaculty of Information and Communication Engineering|bAnna University|dChennai
245__|aMulti view based human action recognition and behavior understanding using shape features
260__|aChennai|bAnna University
502__|bPhD
520__|aHumans have the ability to recognize an event from a single still image. It is the natural tendency of the human beings to give more attention to dynamic objects compared to static objects in a scene. Human motion analysis is currently one of the most a
653__|aHuman action recognition triangulated shape orientation context centroid orientation context
700__|aRamar, K|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/11691|yShodhganga
905__|anotification

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