objectdetection and recognition is an integral part of Computer Vision. It has a multitude of applications ranging from character recognition to video analysis. objectdetection now play a crucial role in industries ...
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ISBN:
(纸本)9781728188768
objectdetection and recognition is an integral part of Computer Vision. It has a multitude of applications ranging from character recognition to video analysis. objectdetection now play a crucial role in industries like security, video, medical, sports, and many more. With the latest research, rapid development in deep learning, and computational image understanding objectdetection will be more prevalent. In the future, we will be able to implement objectdetection in much more mundane workings of our life. Our review paper will focus on the existing techniques that are present in the community and how each technique is different from the other techniques. We will start with an introduction about objectdetection as a tool and technique. This will be followed by a brief background discussing the most fundamental steps involved and the basic architecture of objectdetection. Then, we focus on several existing techniques and perform comparative analyses of these techniques to draw meaningful conclusions. These techniques include two-stagemodels such as R-CNN, Fast R-CNN, and Faster R-CNN and single-stagemodels YOLOv1, YOLOv2, YOLOv3, YOLOv4, and SSD. Finally, we will conclude by presenting some directions that provide a scope for further analyses along that direction and hope to suggest different techniques that can be implemented in different sectors for optimal results.
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