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Chang Faliang
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Chang Faliang Professor/Ph.D

School of Control Science and Engineering, Shandong University

No. 73 Jingshi Road, Jinan city, Shandong province, 250061

P.R. China

Email:flchang@sdu.edu.cn,Phone:86-531-88393568

 

 

  1. Personal Data

Name:Chang FaliangSex:Male

II.Educational Background

Order: from present to the past

2003,92005,12

Studying at Shandong University

Majoring inControl Theory and Engineering: Pattern Recognition and Intelligent system (PHD)

1986,91989,7

Studying at Shandong polytechnic University

Majoring inControl Theory and Engineering(MA)

1982,91986,7

Studying at Shandong polytechnic University

Majoring inAutomation(BA)

  1. Work Experience

    Order: from present to the past

    2000, 10present:

    Professor, School of Control Science and Engineering, Shandong University

    Offering courses: Digital Image Processing, Computer Vision, Pattern Recognition , Control Theory etc.

    Head of Engineering System Control Lab., which is a key lab. of Shandong province

    1996,102000,10:

    Associate Professor, School of Control Science and Engineering, Shandong University

    Offering courses: Digital Image Processing, Computer Vision, Control Theory etc.

    Head of Engineering System Control Lab., which is a key lab. of Shandong province

    1989,91996,10:

    Lecture, Automation Department, Shandong polytechnic University

    Offering courses: Digital Image Processing, Control Theory etc.

  2. Research Interests

1. The theories and Its Applications of Computer Vision and Pattern Recognition

2.Environmental perceptionof IntelligentRobotSystem

3. Bio-medical Image Analysis and Bio-features Recognition

4. Intelligent Transportation and Vehicle Electronic Instruments

5. HumanPoseEstimation andBehaviorRecognition

6.Visual Target Tracking

7.Acoustic Recognition and Fault Diagnosis

  1. Selected Publications

Order: from present to the past(recent 3 years)

2018---2019

1.Zhang Y, Zhou C, Chang F, et al. Multi-resolution attention convolutional neural network for crowd counting[J]. Neurocomputing, 2019, 329: 144-152.

2.Zhang Y, Chang F, Wang M, et al. Auxiliary learning for crowd counting via count-net[J]. Neurocomputing, 2018, 273: 190-198.

3.Wang W, Chang F, Ji T, et al. A fast single-image dehazing method based on a physical model and gray projection[J]. IEEE Access, 2018, 6: 5641-5653.

4.Liu C, Chang F. Hybrid Cascade Structure for License Plate Detection in Large Visual Surveillance Scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 20(6): 2122-2135.

5.Liu H, Chang F, Liu C, et al. Multitarget tracking using multifeature model with acceleration feature[J]. Optical Engineering, 2018, 57(7): 073105.

6.Wang M, Chang F, Zhang Y. Crowd escape event detection based on Direction-Collectiveness Model[J]. KSII Transactions on Internet & Information Systems, 2018, 12(9).

7. Jiang, Qinyu; Chang, Faliang*,A novel rolling-element bearing faults classification method combines lower-order moment spectra and support vector machine[J],Journal of Mechanical Science and Technology,2019.4,33(4):1535-1543,IF-1.221

8.Hongbin Liu, Faliang Chang*, Chunsheng Liu. Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models[J]. Multimedia Tools and Applications, 2019, 78(20): 29161-29181.

2016---2017

9.Wang W, Chang F, Liu Y, et al. Expression recognition method based on evidence theory and local texture[J]. Multimedia Tools and Applications, 2017, 76(5): 7365-7379.

10.Chang F, Liu C. High-performance Chinese multiclass traffic sign detection via coarse-to-fine cascade and parallel support vector machine detectors[J]. Journal of Electronic Imaging, 2017, 26(5): 053020.

11.Liu C, Chang F, Liu C. Multiview road sign detection via self-adaptive color model and shape context matching[J]. Journal of Electronic Imaging, 2016, 25(5): 051202.

12.Fan C, Chang F, Shi K. The generation of band information law and the dynamic hiding of information law[J]. International Journal of Machine Learning and Cybernetics, 2016, 7(3): 443-449.

13.Liu D, Chang F, Liu C. Salient object detection fusing global and local information based on nonsubsampled contourlet transform[J]. JOSA A, 2016, 33(8): 1430-1441.

14.Liu C, Chang F, Liu C. Occlusion-robust traffic sign detection via cascaded colour cubic feature[J]. IET Intelligent Transport Systems, 2016, 10(5): 354-360.

15.LiuC, ChangF,ChenZ,LiuD. Fast Traffic SignRecognition via High-Contrast Region Extraction and Extended Sparse Representation[J].IEEE Trans. on Intelligent Transportation Systems, 2016, 17(1): 79-92.

16.LiuC,ChangF,ChenZ. Rapid Multiclass Traffic SignDetection in High-Resolution Images[J]. IEEE Trans. on Intelligent Transportation Systems,2014, 15(6): 2394-2403.

  1. MainResearchActivities

  • Twenty yearsofexperienceinresearch and development on computer vision, Pattern Recognition,Environmental perception,IntelligentRobotSystem,andIntelligent Transportation

  • Present Research fields: Computer Vision,Pattern Recognition,Environmental perception,IntelligentRobotSystem,Intelligent Transportation

  • Responsible for the following projects at present(supported by industry and government sourcesrespectively):

    1. NationalNatural Science Foundationof China–Research on multi-target relaytracking and abnormal eventdetection with multi-camerainlargescene

    2. National Natural Science Foundation of China –Environmental traffic sign detection, tracking and recognition based on natural searchofhuman visual and attention recognition mechanism

    3. National Natural Science Foundation of China –Targetrelay tracking of multi-agent in complex scene based on learning and inheritance

    4. National Natural Science Foundation of China – Target relay tracking of multi-agent in complex scene based on learning and inheritance

    5. National Key R&D Program of China–Intelligent generation of robotmutual task based on human intention

    6. Key R&D Program ofShandong Province–Research and applicationonthe key technology ofhuman-computer collaborativehybrid-augmented intelligence

    7. Key R&D Program of Shandong Province –Research and Development of Intelligent Auscultatory Fault Diagnosis System Based on Big Data and Deep Learning

  1. Awards

     

    I have received several awards in recent years, including science and technology award of Chinese government in 1996, science and technology awards of Shandong provincial government in 1997,1999,2000,2004 respectively.

     

  2. Social Activities

     

  • Dean of automatic technologycommitteeof Shandong Automation Society

  • A fellow of information experts group of Shandong province

  • A member of Automation Society of China

  • Automatic technological expert of SIEMENS company in China

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