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In Jour Smart Sensing And Intelligent Systems

Article

A STUDY ON OPTIMIZATION METHODS OF X-RAY MACHINE RECOGNITION FOR AVIATION SECURITY SYSTEM

Traditional X-ray machine image recognition methods for airport security system have difficulties in recognition and are prone to result in recognition errors due to the impact of placing angle, density and volume of detected objects. This paper accurately describes the image features of X-ray machine visual image, carries out SVM classification after a visual dictionary is formed and enhances the accuracy of image discrimination by means of robust acceleration. The experimental results

Ning Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1313–1332

Article

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It’s of utmost importance to train airport X-ray machine screener’s image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features

Ning Zhang, Jinfu Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 45–64

Article

TRACKING OF MOVING TARGET BASED ON VIDEO MOTION NUCLEAR ALGORITHM

Wang Xiaojun, Pan Feng, Wang Weihong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 181–198

Article

RESEARCH AND RESTORATION TECHNOLOGY OF VIDEO MOTION TARGET DETECTION BASED ON KERNEL METHOD

Pan Feng, Wang Xiaojun, Wang Weihong

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1516–1534

Article

ROBOTIC ADAPTIVE IMPEDANCE CONTROL BASED ON VISUAL GUIDANCE

Uncalibrated visual servoing based on SVR-Jacobian estimator is proposed in unknown environment. Multiple support vector regression (SVR) machines are used to estimate the Jacobian matrix of images，and the nonlinear mapping between the image features of the curved line and the robot joint angle is constructed, uncalibrated robot impedance control can be carried out．Image Jacobian matrix expression with Gaussian kernel is put forward, the effectiveness of the presented approach is verified by

Li Erchao, Li Zhanming, He Junxue

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2159–2174