Basic movement patterns, walking and jogging, were characterized in girls 5 to 8 years old living in urban areas, using non-linear features extraction. 48 girls were evaluated, aged between 5.7 to 8.9 years (mean 7.05±0.99 years) from a private school on Manizales, Caldas, Colombia. Automated pattern recognition techniques were used to obtain information about possible motor deficiencies, strengthen early detection of flaws or biomechanical deterioration. Image capture was done with eight infrared cameras allowing through Arena OptiTrack version 1.7.0 form posture schemes, later assessed by experts. Informed consent was signed by parents or guardians. The evaluated individuals moved at submaximal auto elected speed. For the purpose of familiarization with the test, the participants completed two attempts to practice walking or running. It was found that a 57.14% had abnormalities in the walking pattern and a 46.94% in the running one. Faced with the expectancy for age, it was concluded that a 56.12% of the evaluated girls showed immature patterns for their age; therefore it is recommended to include these issues with the respective corrections in motor development processes.