Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A domain-independentwindow approach to multiclass object detection using genetic programming
EURASIP Journal on Applied Signal Processing
Robust method of detecting moving objects in videos evolved by genetic programming
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Automated design of image operators that detect interest points
Evolutionary Computation
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
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Detecting motions is an important aspect of machine vision. However real world vision tasks often contain interfering motion information which is not of interest. To tackle this difficult task, we adapted Genetic Programming into this domain. The GP-based methodology presented in this paper does not require the implementation of existing motion detection algorithms. The evolved programs can detect genuine moving objects such as cars and boats, while ignoring background movements such as waving trees, rippling water surface and even pedestrians. These programs provide reliable performance under different lighting conditions, either indoors and outdoors. Furthermore no preprocessing of video input is required which is usually mandatory in conventional vision approaches.