Definition
Object detection involves detecting instances of objects from a particular class in an image.
Background
The goal of object detection is to detect all instances of objects from a known class, such as people, cars, or faces in an image. Typically, only a small number of instances of the object are present in the image, but there is a very large number of possible locations and scales at which they can occur and that need to somehow be explored.
Each detection is reported with some form of poseinformation. This could be as simple as the location of the object, a location and scale, or the extent of the object defined in terms of a bounding box. In other situations, the pose information is more detailed and contains the parameters of a linear or nonlinear transformation. For example, a face detector may compute the locations of the eyes, nose, and mouth, in addition to the bounding box of the face. An example of a bicycle detection that specifies the locations of certain...
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Amit, Y., Felzenszwalb, P. (2014). Object Detection. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_660
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DOI: https://doi.org/10.1007/978-0-387-31439-6_660
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