Title:
Exploiting Human Actions and Object Context for Recognition Tasks
Exploiting Human Actions and Object Context for Recognition Tasks
dc.contributor.author | Moore, Darnell Janssen | |
dc.contributor.author | Essa, Irfan | |
dc.contributor.author | Hayes, Monson H. | |
dc.date.accessioned | 2004-10-13T14:08:48Z | |
dc.date.available | 2004-10-13T14:08:48Z | |
dc.date.issued | 1999 | |
dc.description.abstract | Our goal is to exploit human motion and object context to perform action recognition and object classification. Towards this end, we introduce a framework for recognizing actions and objects by measuring image-, object- and action-based information from video. Hidden Markov models are combined with object context to classify hand actions, which are aggregated by a Bayesian classifier to summarize activities. We also use Bayesian methods to differentiate the class of unknown objects by evaluating detected actions along with low-level, extracted object features. Our approach is appropriate for locating and classifying objects under a variety of conditions including full occlusion. We show experiments where both familiar and previously unseen objects are recognized using action and context information. | en |
dc.format.extent | 186617 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/3377 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | en |
dc.relation.ispartofseries | GVU Technical Report;GIT-GVU-99-11 | |
dc.subject | Computer vision | en |
dc.subject | Action recognition | en |
dc.subject | Gesture recognition | en |
dc.subject | Object recognition | en |
dc.title | Exploiting Human Actions and Object Context for Recognition Tasks | en |
dc.type | Text | |
dc.type.genre | Technical Report | |
dspace.entity.type | Publication | |
local.contributor.author | Essa, Irfan | |
local.contributor.corporatename | GVU Center | |
local.relation.ispartofseries | GVU Technical Report Series | |
relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
relation.isOrgUnitOfPublication | d5666874-cf8d-45f6-8017-3781c955500f | |
relation.isSeriesOfPublication | a13d1649-8f8b-4a59-9dec-d602fa26bc32 |