JOURNAL ARTICLE

Object Detection using OpenCV and Python

Ayushi SharmaJyotsna PathakMuskan PrakashJ. Singh

Year: 2021 Journal:   2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pages: 501-505

Abstract

The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how real time object identification and tracking can be done. It also shows the flexibility of a tracking system to a moving camera, ideal for automotive safety applications. Image identification makes use of techniques like detection of an object, its recognition, and segmentation. The use of artificial intelligence and machine learning enhances the rate of processing the data and maintaining the standard of the outcome. Example, by using artificial intelligence, we can very easily complete difficult tasks.

Keywords:
Artificial intelligence Computer science Object detection Viola–Jones object detection framework Computer vision Python (programming language) Segmentation Object-class detection Image segmentation Cognitive neuroscience of visual object recognition Face detection Video tracking Ranging Object (grammar) Pattern recognition (psychology) Facial recognition system

Metrics

69
Cited By
2.91
FWCI (Field Weighted Citation Impact)
10
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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