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Ö÷Ò³ | Main Page







































  




 












           

  Products:
  1. The system of automatic early forest smoke/fire detection
  2. Onboard automatic target tracking system for UAV
  3. Real-time separation tower level intelligent monitoring system
  4. The automatic detection system of pharmaceutical blister packaging defect
  5. Outdoor Illumination Modeling and Image Proceiing   































Downloads and Datasets£º

    1.MATLAB Source Code for Shadow detection

    2.Dataset for DeshadowNet:A Multi-context Embedding Deep Network for Shadow Removal(CVPR 2017)
    [Test dataset]    [Training dataset ]    [The code ]    [The paper ]


    3. Shadow Detection Dataset for Evaluation of shadow features

    4. ReLU Nets deep selection code(Ver 0.1 Beta)

    5. Robust Tensor Factorization With Unknown Noise

    6. Hyperspectral Image Super-resolution of NLRTATV


1. The system of automatic early forest smoke/fire detection and alarming

Contact£º















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Specification£º
1) Tower-based automatic & reliable early recognition of forest smoke and fire£»
2) Automatic recognition of smoke clouds and fire with a minimal size 25x25 pixels by day and night;
3) The Farthest monitoring at a distance of up to 5km.
































2.Onboard automatic target tracking system for UAV

Contact£ºProf. Dr. Yandong Tang, Dr. Yingkui Du£¬ Dr. Baojie Fan
















Function£ºreal-time tracking of moving and static objects on ground.
















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3. Real-time separation tower level intelligent monitoring system

Contact: Mr.Wentao Li, MSc


















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4. The automatic detection system of pharmaceutical blister packaging defect

Contact: Mr.Wentao Li, MSc
































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5.Visual servo system for assembling robot

Contact: Mr.Wentao Li, MSc
















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6. Outdoor Illumination Modeling and Image Proceiing

Contact£ºDr. Jiandong Tian, Prof. Dr. Yandong Tang
 
1£©Tricolor Attenuation Model for Shadow detection on an Image
2) Linearity of Each Channel Pixel Values from a Surface in and out of Shadows£»
3£©Shadow detection and Removal on an image
4£©Calculatable Model of SPD of Outdoor Light Sources for Computer Vision
5£©Intrnisic Image
6£©Illumination Converting for an image.
















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