Onward Movement Detection and Distance Estimation of Object Using Disparity Map on Stereo Vision

被引:0
|
作者
Hapsani, Anggi Gustiningsih [1 ]
Syauqy, Dahnial [1 ]
Utaminingrum, Fitri [1 ]
Adikara, Putra Pandu [1 ]
Adinugroho, Sigit [1 ]
机构
[1] Brawijaya Univ, Comp Vis Res Grp, Comp Sci, Malang, Indonesia
关键词
object tracking; smart wheelchair; disabled person; stereo vision; disparity map; WHEELCHAIR;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The object tracking is used as instruction controller in wheelchair that track the movement direction of object along time. The movement direction include left, right and onward. The left and right direction can be calculated by using the changing of x-coordinate of object in every sub sequence frame. The challenge is to determine the onward moving. The onward moving cannot calculate simply by coordinate of object in 2D. The solution to detect the onward moving is by using the stereo vision camera. We proposed a method to detect the onward movement and calculate the distance of object from camera using stereo vision. The detection rate is 83.1%. The estimation of object distance from the camera is actually only 3-4 meters away. The system detect that the distance of object is 0-5 meters in front of the camera. The determination of distance estimation is appropriate with the actual distance state.
引用
收藏
页码:41 / 44
页数:4
相关论文
共 50 条
  • [21] A cybernetic multiresolution system for disparity estimation in stereo vision
    Compan, Patricia
    Satorre, Rosana
    Rizo, Ramon
    [J]. KYBERNETES, 2006, 35 (5-6) : 825 - 836
  • [22] Disparity Map Estimation Based on Optimization Algorithms using Satellite Stereo Imagery
    Qayyum, Abdul
    Malik, Aamir Saeed
    Saad, Muhammad Naufal Bin Muhammad
    Abdullah, Faris
    Iqbal, Mahboob
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), 2015, : 127 - 132
  • [23] Disparity map enhancement in pixel based stereo matching method using distance transform
    Chang, Yong-Jun
    Ho, Yo-Sung
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2016, 40 : 118 - 127
  • [24] Parallel framework for dense disparity map estimation using Hamming distance
    Victor Gonzalez-Huitron
    Volodymyr Ponomaryov
    Eduardo Ramos-Diaz
    Sergiy Sadovnychiy
    [J]. Signal, Image and Video Processing, 2018, 12 : 231 - 238
  • [25] Parallel framework for dense disparity map estimation using Hamming distance
    Gonzalez-Huitron, Victor
    Ponomaryov, Volodymyr
    Ramos-Diaz, Eduardo
    Sadovnychiy, Sergiy
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2018, 12 (02) : 231 - 238
  • [26] Asymmetric occlusion detection using linear regression and weight-based filling for stereo disparity map estimation
    Malathi, T.
    Bhuyan, M. K.
    [J]. IET COMPUTER VISION, 2016, 10 (07) : 679 - 688
  • [27] Moving Object Detection and Localization Using Stereo Vision System
    Zak, Bogdan
    Hozyn, Stanislaw
    [J]. MECHATRONICS: IDEAS FOR INDUSTRIAL APPLICATIONS, 2015, 317 : 417 - 424
  • [28] Improved depth map estimation in Stereo Vision
    Fradi, Hajer
    Dugelay, Jean-Luc
    [J]. STEREOSCOPIC DISPLAYS AND APPLICATIONS XXII, 2011, 7863
  • [29] Object centered stereo: displacement map estimation using texture and shading
    Birkbeck, Neil
    Cobzas, Dana
    Jagersand, Martin
    [J]. THIRD INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING, VISUALIZATION, AND TRANSMISSION, PROCEEDINGS, 2007, : 790 - 797
  • [30] Fast Obstacle Detection Using U-Disparity Maps with Stereo Vision
    Oniga, Florin
    Sarkozi, Ervin
    Nedevschi, Sergiu
    [J]. 2015 IEEE 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2015, : 203 - 207