Chapter 2: Advanced methods for robust object detection
Zhaowei Caia; Nuno Vasconcelosb aAmazon Web Services, Pasadena, CA, United StatesbUniversity of California San Diego, Department of Electrical and Computer Engineering, San Diego, CA, United States
Abstract
Object detection is one of the most important and challenging problems in computer vision. The task is to localize every object of interest in a natural image. This has many applications, including surveillance, autonomous driving, robotics, medical imaging, etc. However, object detection is extremely challenging, due to the need to overcome problems such as scale-variance, occlusion, variable lighting, complex backgrounds and all the factors of variability associated with the natural ...
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