DocumentCode
256813
Title
The Framework of Infrared Video Mining Based on Topic Model
Author
Lin Liu ; Lin Tang ; Hong Li ; Shaowen Yao
Author_Institution
Yunnan Univ., Kunming, China
Volume
2
fYear
2014
fDate
26-27 Aug. 2014
Firstpage
354
Lastpage
359
Abstract
We proposed a framework of infrared video mining based on topic model. It aims to learn motion patterns for a crowded and complicated infrared scene. After video preprocessing, motion features are extracted from each pair of consecutive frames at first, and quantized into visual words. Motion pattern are modeled as distributions over visual words in topic model. Experiments about BOVW demonstrate the feasibility of the framework.
Keywords
data mining; feature extraction; image motion analysis; infrared imaging; video signal processing; BOVW; infrared scene; infrared video mining; motion feature extraction; motion patterns; topic model; video preprocessing; visual words; Computational modeling; Computer vision; Feature extraction; Hidden Markov models; Image motion analysis; Optical imaging; Visualization; BOVW; infrared video; motion pattern; topic model;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4956-4
Type
conf
DOI
10.1109/IHMSC.2014.187
Filename
6911518
Link To Document