Paper-Conference

A Novel Occlusion-Adaptive Object Tracking Method
In conventional object tracking methods, much attention has been paid to tracking efficiency, but they often failed in tracking an …
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Feature Analysis of Spammers in Social Networks with Active Honeypots: A Case Study of Chinese Microblogging Networks
In this poster we report our study on the microblog spammers with samples attracted by 50 honeyspots from two popular Chinese …
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Object contour tracking using multi-feature fusion based particle filter
In this paper, a novel object contour tracking framework integrating independent multi-feature fusion object rough location and …
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Analyzing Spammers of Social Networks using Honeypot-A Case Study of Microblogging of China
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Measurement Algorithm for Image Structure Noise on Hardcopy
Image structure noise sometimes is a key factor influencing the image quality of hardcopies and widely exists in presswork using …
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Skew Estimation Based on Haar-Like Features
This paper presents a novel approach for skew estimation of scanned documents. Haar-like features are firstly proposed to construct …
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Chinese words detection in camera based images using stroke width transform
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Learning dictionary via subspace segmentation for sparse representation
Sparse signal representation based on redundant dictionaries contributed to much progress in image processing in the past decades. But …
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Building Artificial Identities in Social Network Using Semantic Information
As the popularity of social networking sites increase, so does their attractiveness for criminals. In this work, we show how an …
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Hybrid center-symmetric local pattern for dynamic background subtraction
Effective foreground detection in dynamic scenes is a challenging task in computer vision applications. In this paper, we propose a …
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