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Pedestrian Recognition Based on Saliency Detection and Kalman Filter Algorithm in Aerial Video
Found in: Computational Intelligence and Security, International Conference on
By Wang Xingbao,Liu Chunping,Liu Gong,Liu Long,Gong Shengrong
Issue Date:December 2011
pp. 1188-1192
For the problem of low resolution, camera movement and target's detail fuzzy in aerial video when detecting and recognizing pedestrian, this paper proposes weighted region matching algorithm based on saliency detection and Kalman filter(KS-WRM). In the pre...
Component Interface Testing in Virtual Experiment for Visualization of Material Property Data
Found in: 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
By Chuanzhi Liu,Chunping Ouyang,Yongbin Liu
Issue Date:May 2012
pp. 2156-2161
Component-based development is widely used in large-scale software systems, which is focused on modularization and reusability. Each component has several related interfaces, which clearly describe the function, behavior and other relevant information. In ...
A Saliency Detection Model Based on Multi-feature Fusion
Found in: Computational Intelligence and Security, International Conference on
By Zheng Yang,Liu Chunping,Wang Zhaohui,Ji Yi,Gong Shengrong
Issue Date:December 2011
pp. 1062-1066
In this paper, we develop a saliency detection model which combines low and high level features. This model can be useful to the problems of content missing in image with large scale foreground and false detection in image with complex background when dete...
A Forecasting Model for Parking Guidance System
Found in: Computer Science and Information Engineering, World Congress on
By Sun Yong, Liu Chunping, Wang Yihuai, Zhang Shukui, Li Feixiong
Issue Date:April 2009
pp. 607-611
This paper researches prediction problems of Parking Occupancy Rate (POR) for city Parking Guidance System (PGS). First, giving the POR model based on BP Neural Network. Second, discuss the structure of BP Neural Network. At last, make a compare for differ...
What Drives a Successful E-Learning? A Comparative Research between China Mainland and Taiwan
Found in: Intelligent Information Technology Application Workshops, International Symposium on
By Yong-gui Shi, Pu Liu, Chunping Huang, Nai Cai
Issue Date:December 2008
pp. 961-966
The purpose of this study was to compare the differences between different cultures in critical success factors of e-Learning. A survey was conducted in China mainland to investigate the critical factors affecting learners’ satisfaction in e-Learning, then...