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This paper reviews the existing work in genetic programming for object detection and image analysis. It shortly introduces the reader into the fundamentals of evolutionary computation and presents the basics of the genetic programming paradigm (GP), providing a rationale for the use of GP within computer vision and pattern recognition, particularly when applied to object detection and image analysis. It reviews the past research on GP for vision, referring to real-world applications where possible. It outlines possible further research directions.