Object Recognition Systems

Object Recognition System is a computational framework within assistive technology for visual impairment that enables the identification and localization of physical objects in real-world environments through sensor data processing and pattern recognition, distinguishing it from other visual assistive devices by its specific focus on detecting and classifying discrete entities to support situational awareness and navigation for visually impaired users.

685

Publications

99.7K

Citations

2.2K

Authors

704

Institutions

Publications per year

2017–2026

271

Authors

2.2K

  1. SB
    Serge Belongie

    University of California San Diego, United States

    6 publications · 29.4K citations

    6

    h-index

  2. RC
    Randal C. Nelson

    University of Rochester, United States

    5 publications · 239 citations

    5

    h-index

  3. HY
    Hoi‐Jun Yoo

    Korea Advanced Institute of Science and Technology, South Korea

    5 publications · 157 citations

    5

    h-index

  4. FB
    Faouzi Benzarti

    National Engineering School of Tunis, Tunisia

    4 publications · 120 citations

    4

    h-index

  5. YT
    Yingli Tian

    City College of New York, United States

    4 publications · 217 citations

    4

    h-index

1–5 of 2.2K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 18 publications · 5.3K citations

    17

    h-index

  2. arXiv (Cornell University)

    Repository · 19 publications · 1.1K citations

    15

    h-index

  3. Sensors

    9 publications · 1.8K citations

    9

    h-index

  4. 5

    h-index

  5. Pattern Recognition

    5 publications · 148 citations

    5

    h-index

1–5