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  • In Jour Smart Sensing And Intelligent Systems

 

Article

AUTOMATIC RECOGNITION OF FACIAL EXPRESSION BASED ON COMPUTER VISION

which is determined facial velocity information. Then, these two features are integrated and converted to visual words using “bag-of-words” models, and facial expression is represented by a number of visual words. Secondly, the Latent Dirichlet Allocation (LDA) model are utilized to classify different facial expressions such as “anger”, “disgust”, “fear”, “happiness”, “neutral”, “sadness”, and “surprise”. The experimental results show that our proposed method not only performs stably and robustly

Shaoping Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1464–1483

Article

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

facial expression. Then, fusing the local texture feature and facial velocity information get the hybrid characteristics using Bag of Words. Finally, Multi-Instance Boosting model is used to recognize facial expression from video sequences. In order to be learned quickly and complete the detection, the class label information is used for the learning of the Multi-Instance Boosting model. Experiments were performed on a facial expression dataset built by ourselves and on the JAFFE database to evaluate

Shaoping Zhu, Yongliang Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 581–601

Article

A SCENE RECOGNITION ALGORITHM BASED ON MULTI-INSTANCE LEARNING

In Bag of Words image presentation model, visual words are generated by unsupervised clustering, which leaves out the spatial relations between words and results in such shorting comings as limited semantic description and weak discrimination. To solve this problem, we propose to substitute visual words by visual phrases in this article. Visual phrases built according to spatial relations between words are semantic distrainable, and they can improve the accuracy of Bag of Words model

Tao Wang, Wenqing Chen, Bailing Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1470–1492

Article

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

Ning Zhang, Jinfu Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 45–64

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