Title
Human Detection in Video Using Poselet Combine with Gradient Local Auto Correlation Classifier
Abstract
In this paper, we propose a new method to identify human in video. By using poselet, a novel technique to detect human with different poses, we combine with Gradient Local Auto Correlation classifier method to reduce the false detection in frames. Through experimental result, our technique has the high accuracy in various environments. And it also removes efficiently false detection.
Year
DOI
Venue
2014
10.1109/ICITCS.2014.7021775
ICITCS
Keywords
Field
DocType
gradient methods,object detection,video signal processing,computer vision,false detection,gradient local auto correlation classifier method,human detection,poselet
False detection,Computer vision,Pattern recognition,Computer science,Artificial intelligence,Classifier (linguistics),Autocorrelation
Conference
ISSN
Citations 
PageRank 
2473-0122
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
thuongkhanh tran100.68
Ngoc Nam Bui231.79
Jin Young Kim349781.76