An Real Time Object Detection Method for Visually Impaired Using Machine Learning

Alagarsamy, Saravanan; Rajkumar, T. Dhiliphan; Syamala, K.; Niharika, Ch; Rani, Deepika; Balaji, K.C.

doi:10.1109/iccci56745.2023.10128388

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Today this CVT are popular in applications such as image classification [2], real-time object detection [3], pose estimation [4], segmentation [5], video classification [6], object tracking [7], and super-resolution [8]. The main processes to achieve image classification involve data collection [9], data process [10], feature extraction [11], and classifier [12]. Image classification is a process of assigning a label to the class of an image [2].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Depths of Visual Understanding: A Comprehensive Review on Real-Time Object of Interest Detection Techniques

CHIDI,

UDANOR,

ANOLIEFO

2024

Preprint

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Object detection is complex and involved diverse requirements for different applications. In critical application such as visual impaired navigation guide and real-time surveillance for instance, identifying a particular object of instance is required and this involved a complex approach for realization. Literatures were reviewed, starting with the application of deep learning techniques for object detection; their gaps were identified and addressed using real-time object detection models literature review. From the review gaps were also detected and addressed using literature review on occlusion detection techniques. Object of instance detection in clustered scene with similar object of interest was identified as an open gap not addressed in the existing literature; even through it is vital for many applications. This research recommended an Occlusion Based Object of Instance Detection (OBOID) technique which used the spatial information to identify instant object of interest in clustered scene with many similarly object of interest. Limitation of the recommended OBOID is that it requires only system where position and distance of object is necessary to inform other decision.

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