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Study on Object Detection using Open CV - Python

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 8
Year of Publication: 2017
Authors:
Bhumika Gupta, Ashish Chaube, Ashish Negi, Umang Goel
10.5120/ijca2017913391

Bhumika Gupta, Ashish Chaube, Ashish Negi and Umang Goel. Study on Object Detection using Open CV - Python. International Journal of Computer Applications 162(8):17-21, March 2017. BibTeX

@article{10.5120/ijca2017913391,
	author = {Bhumika Gupta and Ashish Chaube and Ashish Negi and Umang Goel},
	title = {Study on Object Detection using Open CV - Python},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2017},
	volume = {162},
	number = {8},
	month = {Mar},
	year = {2017},
	issn = {0975-8887},
	pages = {17-21},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume162/number8/27263-2017913391},
	doi = {10.5120/ijca2017913391},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Object detection [9] is a well-known computer technology connected with computer vision and image processing that focuses on detecting objects or its instances of a certain class (such as humans, flowers, animals) in digital images and videos. There are various applications of object detection that have been well researched including face detection, character recognition, and vehicle calculator. Object detection can be used for various purposes including retrieval and surveillance. In this study, various basic concepts used in object detection while making use of OpenCV library of python 2.7, improving the efficiency and accuracy of object detection are presented.

References

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Keywords

Object Detection, IOU, OpenCV, Python, Matlab.