A physical approach to color image understanding
International Journal of Computer Vision
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
A fast automatic VOP generation using boundary block segmentation
Real-Time Imaging
A novel alternative to conventional machine vision features
International Journal of Bio-Inspired Computation
Optimal image colour extraction by differential evolution
International Journal of Bio-Inspired Computation
Two hybrid ant algorithms for the general T-colouring problem
International Journal of Bio-Inspired Computation
Automatic measuring system for railroad wheels
International Journal of Computer Applications in Technology
Texture recognition by using a non-linear kernel
International Journal of Computer Applications in Technology
Adaptive method for improvement of human skin detection in colour images
International Journal of Computer Applications in Technology
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Aiming at the multiple cameras cooperating in a surveillance system, a tracking optimisation method based on genetic programming and material character is proposed. Firstly, a physics parameter-orbit, which can be used to describe characters of some material is defined. Secondly, the central line of the orbit and radius is gained by genetic programming. Thirdly, distinguish the pixel belonging to the material with the orbit. In this way, we can coordinate multiple cameras in a surveillance system. Experiment results demonstrate that the algorithm is simple, effective, to solve the problem of multiple camera cooperation in a surveillance system.