![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Analysis on Object Recognition Algorithms and Models to Assist Visually Impaired People
Subscribe/Renew Journal
Object Recognition play a pivotal role in image processing. Object identification is itself a tedious task as there exist abundant objects which are identical. Vision is one of the most essential senses of the living being, especially a human. The biggest challenging task for a blind person is to move independently without any obstacle. Hence, to recognize an object at various places and scenarios is tough. Visual impairment has been one of the crucial areas of research and as a result a lot of electronic devices and applications have been developed. These devices and applications help blind person to effortlessly identify an object and to take immediate action on the object which is ahead. This paper gives the blueprint of the research and development that has been done for visually impaired people for recognizing objects. The various algorithms or methods that are used in object identification are listed and explained. This paper will have the researchers to know about the latest work that is done in object detection or recognition.
Keywords
Computer Vision, Object Detection, Object Recognition, Visually Impaired.
User
Subscription
Login to verify subscription
Font Size
Information
- S. Prasad, and S. Sinha, “Real-time object detection and tracking in an unknown environment,” World Congress on Information and Communication Technologies, pp. 1056-1061, 2011.
- S. Deshpande, and R. Shriram, “Real time text detection and recognition on hand held objects to assist blind people,” International Conference on Automatic Control and Dynamic Optimization Technology (ICACDOT’2016), pp. 1020-1024, 2017.
- B. A. G. de Oliveira, F. M. F. Ferreira, and C. A. P. da S. Martins, “Fast and lightweight object detection network: Detection and recognition on resource constrained devices,” IEEE Access, vol. 6, pp. 8714-8724, 2018.
- A. Jothimani, S. Edward, G. K. Divyashree, and Laavanya, “Object identification for visually impaired,” Indian Journal of Science and Technology, vol. 9, no. s(1), December 2016.
- K. U. Sharma, and N. V. Thakur, “A review and an approach for object detection in images,” International Journal of Computational Vision and Robotics, vol. 7, no. 2, pp. 196-237, 2017.
- S. Gautam, K. S. Sivaraman, H. Muralidharan, and A. Baskar, “Vision system with audio feedback to assist visually impaired to grasp objects,” Procedia Computer Science, vol. 58, pp. 387-394, 2015.
- N. Bari, N. Kamble, and P. Tamhankar, “Android based object recognition and motion detection to aid visually impaired,” International Journal of Advances in Computer Science and Technology, vol. 3, no. 10, pp. 1-5, 2014.
- B. Kaur, and J. Bhattacharya, “A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN,” Journal of Neurocomputing, 2018.
- Y. Tian, X. Yang, C. Yi, and A. Arditi, “Toward a computer vision-based wayfinding aid for blind persons to access unfamiliar indoor environments,” Machine Vision and Application, vol. 24, no. 3, pp. 521-535, 2013.
- R. Jafri, S. Abid, and A. Hamid, “Computer vision-based object recognition for the visually impaired in an indoors environment: A survey,” Springer, 2013.
- A. P. George, “Object recognition algorithms for computer vision system: A survey,” International Journal of Pure and Applied Mathematics, vol. 117, no. 21, pp. 69-74, 2017.
- H. Jabnoun, F. Benzarti, and H. Amiri, “Object detection and identification for blind people in video scene,” 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), December 2015.
- R. Chincha, and Y. Tian, “Finding objects for blind people based on SURF features SURF-based,” IEEE International Conference on Bioinformatics and Biomedicine Workshops, pp. 526-527, 2011.
- C. Yi, R. W. Flores, R. Chincha, and Y. Tian, “Finding objects for assisting blind people,” Network Modeling and Analysis in Health Informatics and Bioinformatics, vol. 2, no. 2, pp. 71-79, 2013.
- S. Md. R. Bagwan, and L. J. Sankpal, “VisualPal: A mobile app for object recognition for the visually impaired,” IEEE International Conference on Computer, Communication and Control (IC4’2015), 2015.
- J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” IEEE Conference on Computer Vision and Pattern Recognition, 2016.
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 274
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 134