Abstract
This modern world, driven by technological advancement and inventions, is moving toward automation of processes, technology, manufacturing, etc. We have self-driving cars, and robots are used in production and so on. Computer vision has a huge role to play in it. With the advancement in computational intelligence, it has been possible to create complex algorithms and tools which have brought a revolution in the field of computer vision. In this chapter, we are going to look at the most recent developments in the field of computer vision. Computer vision itself is a vast field, so we will be sticking to object detection, which is one of the main tasks of computer vision. It also forms the base for further developments in this field. The paper looks back at the inspiration that led to the idea of computer vision, its history, and how it has developed over the years; these are covered in brief in the chapter. Various algorithms form the majority of the portions of the section. Starting from the basics, the paper slowly and gradually builds the base and move on to understand more complex recent algorithms that are being used in real-life applications. These help build the understanding, which can be applied for research as shown with a case study. Finally, the paper looks at some of the latest innovations in the field of computer vision, those that have been developed based on these concepts.
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Acknowledgment
The research work mentioned in the case study was carried out at IIIT Allahabad, by Sourabh Prakash under the supervision of Dr. Satish Kumar Singh and mentorship of Albert Mundu.
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Prakash, S., Shukla, A.N., Yadav, A.K. (2022). Insights to Computational Intelligence Techniques for Computer Vision. In: Tomar, R., Hina, M.D., Zitouni, R., Ramdane-Cherif, A. (eds) Innovative Trends in Computational Intelligence. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-78284-9_3
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