Author:
Kadhim Widad,A. Taha Dr. Mohammed
Abstract
Humans can understand their surroundings clearly because they regularly notice objects in their environment. It is essential for the machine to perceive the surroundings similarly to how humans do in order to make it autonomous and capable of navigating in the human world. The machine can assess its surroundings and identify objects using object detection. This can simplify a number of tasks and enable the machine to recognize its surroundings. Making bounding boxes that surround the objects is essentially how object detection systems work to locate objects in an image. Object detection has applications such as autonomous robot navigation, surveillance, face detection, and vehicle
Subject
Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management
Reference29 articles.
1. M. Wu et al., “Object detection based on RGC mask R-CNN,” IET Image Process., vol. 14, no. 8, pp. 1502–1508, 2020.
2. G. A. Montazer and D. Giveki, “Content based image retrieval system using clustered scale invariant feature transforms,” Optik (Stuttg)., vol. 126, no. 18, pp. 1695–1699, 2015.
3. L. Shi and J. H. Lv, “Face detection system based on AdaBoost algorithm,” Appl. Mech. Mater., vol. 380–384, no. 4, pp. 3917–3920, 2013.
4. J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You only look once: Unified, real-time object detection,” Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 2016-Decem, pp. 779–788, 2016.
5. W. Liu et al., “SSD: Single shot multibox detector,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9905 LNCS, pp. 21–37, 2016.