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http://dx.doi.org/10.7840/kics.2015.40.11.2284

Probabilistic Graph Based Object Category Recognition Using the Context of Object-Action Interaction  

Yoon, Sung-baek (Electrical and Computer Engineering, Sungkyunkwan University)
Bae, Se-ho (Electrical and Computer Engineering, Sungkyunkwan University)
Park, Han-je (Electrical and Computer Engineering, Sungkyunkwan University)
Yi, June-ho (Electornic and Electrical Engineering, Sungkyunkwan University, Information and Communication Engineering, North university of China)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.11, 2015 , pp. 2284-2290 More about this Journal
Abstract
The use of human actions as context for object class recognition is quite effective in enhancing the recognition performance despite the large variation in the appearance of objects. We propose an efficient method that integrates human action information into object class recognition using a Bayesian appraoch based on a simple probabilistic graph model. The experiment shows that by using human actions ac context information we can improve the performance of the object calss recognition from 8% to 28%.
Keywords
object recognition; object-action context; object-human interaction;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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