OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS

Dorthy Shaji; Deepika B; Sivapriya K; Vendamani N; Mohanambal K

OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS

March 2020

Vol-6, Issue-2

Paper ID: 11572

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Deep Learning

Keywords

YOLO Convolutional Neural Networks OpenCV

Abstract

An object needs to be detected. This is done by the use of first and foremost Computer vision Technology YOLO i.e. you Look Only Once. It finds several applications due to its tremendous speed in detecting objects. These object needs to be tracked down, also using YOLO algorithm. YOLO object detection in images means not only to identify what kind of object is included, but also localize it inside the co-ordinates of the "bounding box" containing the Object. YOLO uses deep learning and Convolution Neural Networks (CNN) for object detection. It needs to "see" the image only once and identifies the image. It creates a unique ID for each of initial detections. And then tracking each of the objects as they move around the frames in a video, maintaining the assignment of Unique ID's. This project will be robust to occlusion. It can also be used to detect missing object that has been lost in between frames also.

License

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Author Information

#	Name	Institute / Affiliation
1	Dorthy Shaji	SRM Valliammai Engineering College
2	Deepika B	SRM Valliammai Engineering College
3	Sivapriya K	SRM Valliammai Engineering College
4	Vendamani N	SRM Valliammai Engineering College
5	Mohanambal K	SRM Valliammai Engineering College

How to Cite

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

APA Style

Shaji, Dorthy, B, Deepika, K, Sivapriya, N, Vendamani, & K, Mohanambal (2020). OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 495-498.

MLA Style

Shaji, Dorthy, et al. "OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 495-498.

IEEE Style

Dorthy Shaji, Deepika B, Sivapriya K, Vendamani N, and Mohanambal K, "OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 495-498, 2020.

Vancouver Style

Shaji Dorthy, B Deepika, K Sivapriya, N Vendamani, K Mohanambal. OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):495-498.

Harvard Style

Shaji, Dorthy, B, Deepika, K, Sivapriya, N, Vendamani, & K, Mohanambal (2020) 'OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 495-498.

Chicago Style

Shaji, Dorthy, et al. "OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 495-498.

Turabian Style

Shaji, Dorthy, et al. "OBJECT DETECTION AND TRACKING USING DEEP LEARNING ALGORITHMS." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 495-498.