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Conference Program of WCICA 2012

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<strong>WCICA</strong> <strong>2012</strong><br />

Book <strong>of</strong> Abstracts: Sunday Sessions<br />

Wang, Fan<br />

Tang, Cheng<br />

Ou, Yongsheng<br />

Xu, Yangsheng<br />

Shenzhen Inst.s <strong>of</strong> Advanced Tech., Chinese Acad.<br />

<strong>of</strong> Sci.<br />

Shenzhen Inst.s <strong>of</strong> Advanced Tech., Chinese Acad.<br />

<strong>of</strong> Sci.<br />

Chinese Acad. <strong>of</strong> Sci., Shenzhen Inst.s <strong>of</strong><br />

Advanced Tech.<br />

The Chinese Univ. <strong>of</strong> Hong Kong<br />

Robot imitation is a useful tool in humanoid robot research, it provides<br />

a natural way <strong>of</strong> teaching a complex humanoid robot to accomplish<br />

human-like behaviors. However, it is never an easy task to build such<br />

a system robustly due to the high degree <strong>of</strong> freedom (DOF) in human<br />

motion and difficulty in humanoid control. In this paper, we present a<br />

system built up by the Micros<strong>of</strong>t Kinect box and the Aldebaran NAO Humanoid<br />

robot, which can mimic full body human motion in real time. By<br />

applying inverse kinematics through an optimization process, the human<br />

motion was split up into critical frames and represented by a list <strong>of</strong><br />

robot joint angles. Then a second order continuous trajectory is formed<br />

to drive each joint toward the target angle, followed by balance control<br />

and selfcollision avoidance system. The tests show that the system is<br />

robust and flexible enough to imitate various human motions.<br />

◮ SuA05-4 14:30–14:50<br />

Automatic Violin Player, pp.3892–3897<br />

Huang, Hsing-Hisn<br />

Minghsin Univ. <strong>of</strong> Sci. & Tech.<br />

The purpose <strong>of</strong> this research is to build an automatic violin player. The<br />

method is to study the violin playing skill, and to develop the automatic<br />

mechanism. This research is an extension work <strong>of</strong> the previous violin<br />

robot. The new robot consists <strong>of</strong> two mechanical systems. The first<br />

system is the bowing mechanism, which is able to control the bowing<br />

velocity and position. The second system is the violin control mechanism.<br />

This system can rotate the violin to a specific angle to coordinate<br />

with the string-changing movement <strong>of</strong> the bow. It also possesses a<br />

fingering device, which is able to press on several fixed positions in correspondence<br />

with the notes <strong>of</strong> the music. The automatic violin player<br />

utilizes a PC-based controller, and is able to play many famous songs.<br />

◮ SuA05-5 14:50–15:10<br />

Mechanical Design <strong>of</strong> a Slider-Crank Centered Robotic Dolphin,<br />

pp.3741–3746<br />

Wei, Changming<br />

Yu, Junzhi<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci.<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci.<br />

This paper addresses the mechatronic issues <strong>of</strong> a novel bio-inspired<br />

robotic dolphin capable <strong>of</strong> fast swimming. The robot mechanically consists<br />

<strong>of</strong> a dorsoventrally propulsion mechanism, a turning mechanism,<br />

and an up-and-down mechanism. Since the swimming robot is predominantly<br />

driven by a series <strong>of</strong> DC motors and servo motors, the possible<br />

alternative to improve the swimming speed is to maximize the motor<br />

efficiency. Based on this idea, a new slider-crank centered flapping<br />

mechanism with the continuous rotation <strong>of</strong> the DC motor is proposed to<br />

mimic the oscillations <strong>of</strong> the posterior body and the fluke. Finally, the<br />

preliminary robotic prototype is built to validate the effectiveness <strong>of</strong> the<br />

formed robotic design ideas.<br />

◮ SuA05-6 15:10–15:30<br />

Vision-based Unscented FastSLAM for Mobile Robot, pp.3758–3763<br />

Qiu, Chunxin<br />

Zhu, Xiaorui<br />

Zhao, Xiaobing<br />

Harbin Inst. <strong>of</strong> Tech. Shenzhen Graduate School<br />

Harbin Inst. <strong>of</strong> Tech. Shenzhen Graduate School<br />

Harbin Inst. <strong>of</strong> Tech. Shenzhen Graduate School<br />

This paper presents a vision-based Unscented FastSLAM (UFast-<br />

SLAM) algorithm combing the Rao-Blackwellized particle filter and Unscented<br />

Kalman filte(UKF). The landmarks are detected by a binocular<br />

vision to integrate localization and mapping. Since such binocular vision<br />

system generally inherits larger measurement errors, it is suitable<br />

to adopt Unscented FastSLAM to improve the performance <strong>of</strong> localization<br />

and mapping. Unscented FastSLAM takes advantage <strong>of</strong> UKF<br />

instead <strong>of</strong> the linear approximations <strong>of</strong> the nonlinear function where the<br />

effective number <strong>of</strong> particles is used as the criteria to reduce the particle<br />

degeneration. Simulations and experiments are carried out to demonstrate<br />

that the Unscented FastSLAM algorithm can achieve much better<br />

performance in the vision-based system than FastSLAM2.0 algorithm<br />

on the accuracy and robustness.<br />

SuA06 13:30–15:50 Room 302<br />

Pattern Recognition<br />

Chair: Zheng, Suiwu<br />

Co-Chair: Li, Kun<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci.<br />

The Chinese Univ. <strong>of</strong> Hong Kong<br />

◮ SuA06-1 13:30–13:50<br />

A Comparative Study <strong>of</strong> Endoscopic Polyp Detection by Textural Features,<br />

pp.4671–4675<br />

LI, Baopu<br />

The Chinese Univ. <strong>of</strong> Hong Kong<br />

Digestive tract cancer is a big threat to human and capsule endoscopy<br />

(CE) is a relatively new technology to detect the diseases in the small<br />

bowel. Since polyp is an important symptom <strong>of</strong> digestive cancer it is important<br />

to detect them by computerized methods. In this work, we comparatively<br />

investigate computer aided detection for polyps by machine<br />

learning based methods that are built upon color textural features. Four<br />

textural features, wavelet based features, color wavelet covariance, rotation<br />

invariant uniform local binary pattern and complete local binary<br />

pattern, are utilized to characterize the textural features in CE images,<br />

and performance <strong>of</strong> them are extensively studied in three different color<br />

spaces, that is, RGB, HSI and Lab color spaces.<br />

◮ SuA06-2 13:50–14:10<br />

Simplified Minimum Enclosing Ball based Fast Incremental Support<br />

Vector Machine (SVM) Algorithm for Person Detection and Tracking,<br />

pp.4936–4941<br />

Zheng, Suiwu<br />

Qiao, Hong<br />

Jia, Lihao<br />

Fukuda, Toshio<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci.<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci., China<br />

Inst. <strong>of</strong> Automation, Chinese Acad. <strong>of</strong> Sci.<br />

Nagoya Univ.<br />

In order to meet the requirements <strong>of</strong> stable person detection and tracking<br />

techniques in dynamic visual system, we propose a simplified minimum<br />

enclosing ball based fast incremental support vector machine<br />

(SVM) algorithm for person detection and tracking. Based on the simplified<br />

minimum enclosing ball (MEB) method, we propose a simplified<br />

and fast incremental algorithm to compute the MEB. By utilizing the e-<br />

quivalence between MEB and the dual problem in SVM, we achieve the<br />

online and incremental adjustment <strong>of</strong> the SVM classifier coefficients.<br />

The proposed method do not need to solve the quadratic programming<br />

problem. It is fast for training. Moreover, it can achieve the online update<br />

<strong>of</strong> classifiers for object tracking with small sample size. Finally, the<br />

efficiency <strong>of</strong> the proposed incremental SVM is validated by detection<br />

experiments on dynamic pedestrians tracking system.<br />

◮ SuA06-3 14:10–14:30<br />

Fast Eye Localization Based on a New Haar-like Feature, pp.4825–<br />

4830<br />

Chen, Yefei<br />

Su, Jianbo<br />

Shanghai Jiao Tong Univ.<br />

Shanghai Jiaotong Univ.<br />

This paper focuses on fast eye localization method. According to the<br />

priori proportional relationships <strong>of</strong> face features, we firstly set an appropriate<br />

candidate window from the face region detected. Secondly,<br />

histogram equalization is applied on the candidate region to eliminate<br />

illumination effects. This paper presents a new haar-like feature generating<br />

the confidence <strong>of</strong> the feature throughout the candidate region in<br />

order to locate eyeball accurately and rapidly. Our method is proved to<br />

be simple and robust against the disturbance caused by glasses, eyebrow<br />

and hair. The process <strong>of</strong> training and learning is not necessary<br />

because <strong>of</strong> the appropriate priori knowledge. Our experiment on three<br />

face databases shows that our method can be applied to real time eye<br />

position localization and even to pupil localization under most circumstances,<br />

achieving accurate results.<br />

◮ SuA06-4 14:30–14:50<br />

Detection <strong>of</strong> Pedestrian Crossing from Focus to Spread, pp.4897–4901<br />

Wang, Caifeng<br />

Liao, Fucheng<br />

Univ. <strong>of</strong> Sci. & Tech.<br />

Univ. <strong>of</strong> Sci. & Tech. Beijing<br />

209

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