IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN

KAMBHAMPATI SAHITHI; JAMANLLAMUDI RAJKUMARI; AKKALA PRANATHI; GONDI SAIPOOJA

IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN

July 2022

Vol-8, Issue-4

Paper ID: 17647

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Image Localization Object Detection Image Segmentation Machine Learning Deep Learning.

Abstract

Automating Road traffic system is a compulsive measure in recent times as the demand of vehicles increasing & congestion is everywhere. An image segmentation mechanism in this application will be useful to automate. The main objective of an image segmentation is to divide an image into many sections for the further analysis, so we can get the only necessary or a segment of information. The partitioning the image will be based on some image features like color, texture, pixel intensity value etc. There are several techniques of image segmentation like region based method, edge based method, clustering methods.This project demonstrates how image segmentation mechanism takes place in any Road traffic application using region based method by Mask R-CNN architecture.

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Author Information

#	Name	Institute / Affiliation
1	KAMBHAMPATI SAHITHI	Vasireddy Venkatadri Institute of Technology
2	JAMANLLAMUDI RAJKUMARI	Vasireddy Venkatadri Institute of Technology
3	AKKALA PRANATHI	Vasireddy Venkatadri Institute of Technology
4	GONDI SAIPOOJA	Vasireddy Venkatadri Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

SAHITHI, KAMBHAMPATI, RAJKUMARI, JAMANLLAMUDI, PRANATHI, AKKALA, & SAIPOOJA, GONDI (2022). IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN. International Journal of Advance Research and Innovative Ideas In Education, 8(4), 29-36.

MLA Style

SAHITHI, KAMBHAMPATI, et al. "IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, 2022, pp. 29-36.

IEEE Style

KAMBHAMPATI SAHITHI, JAMANLLAMUDI RAJKUMARI, AKKALA PRANATHI, and GONDI SAIPOOJA, "IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, pp. 29-36, 2022.

Vancouver Style

SAHITHI KAMBHAMPATI, RAJKUMARI JAMANLLAMUDI, PRANATHI AKKALA, SAIPOOJA GONDI. IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(4):29-36.

Harvard Style

SAHITHI, KAMBHAMPATI, RAJKUMARI, JAMANLLAMUDI, PRANATHI, AKKALA, & SAIPOOJA, GONDI (2022) 'IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN', International Journal of Advance Research and Innovative Ideas In Education, 8(4), pp. 29-36.

Chicago Style

SAHITHI, KAMBHAMPATI, et al. "IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 29-36.

Turabian Style

SAHITHI, KAMBHAMPATI, et al. "IMAGE SEGMENTATION IN ROAD TRAFFIC APPLICATION USING MASK R-CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 29-36.