Publisher description
In the digital world, computer vision is a trending technology and it is highly in demand in the security and surveillance industry, as well as for self-driven cars and entertainment applications. This surge in the popularity of computer vision is due to the emergence of state-of-the-art deep learning technologies that can solve computer vision tasks with very high accuracy, which was considered unachievable a decade ago. Computer vision is used to provide human intelligence and understanding to computers. Digital images are used as input to the computer and later, machines can identify the objects in an image. Vehicle detection and counting at the border of countries and states/cities have become famous through aerial images because of security concerns. Sixty-seven percent of the world's population will be cities by 2030, so ground infrastructure cannot keep up and is costly to overhaul. Hence, vehicle detection and classification are important research areas in vision and computing applications. Due to the alarming improvement in areal imaging and vehicle tracking on highways, detection is always challenging due to vehicles' different shapes and sizes and different resolutions of satellite images. The motivation for this book is twofold: object recognition has unique characteristics and the demands of the object recognition module are increasing rapidly in the market through aerial images. Object detection provides an intersection between computer vision and deep learning methods and it gains the attention of many researchers because of real-world applications. Aerial images are beneficial for providing timely rescue operations during natural disasters such as floods, fires, etc. The use of aerial imagery to provides immediate emergency help to humans. With the rapidly growing importance of military and security applications, object surveillance has become a critical area of research. Aerial imagery is used to predict poverty estimates in several places worldwide. According to the report of the Compound Annual Growth Rate (CAGR), the aerial data services market is going to increase up to $23.4 billion from 2017 to 2025. The objective of this book is to provide more relevant information about aerial recognition system-based challenges, applications, and security. Emerging AI-based technology will play a vital role in reducing crime. This book will assist readers in understanding how AI is widely employed for further research and professionals for providing solutions to different societal problems. Readers will learn how AI offers numerous applications and has been beneficial for different industries. Artificial intelligence will have significant ramifications for humanity, to the point where it will redefine what it means to be human. AI technology aims to develop intelligent solutions for different industrial sectors and societies and offers to complete tasks in a stipulated period with more efficiency and accuracy. This revolutionary technology helps individuals automate their tasks by making traditional systems smarter
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Advances in Aerial Sensing and Imaging
Book reviews » Advances in Aerial Sensing and Imaging
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