Research And Implementation Of Age Interval Recognition Based On Gait Monitoring

With the development of modern society, More and more people become concerned about the safety, identity recognition has become the mainstream of the biological characteristics. The gait recognition as an emerging biometric technology, with its unique advantages:a non-invasive, unique, long-range identification, easy to collect, hard to disguise and hide, gained more and more attention and concern, Based on the age range classification of gait biometrics as a sub-field of study, to a certain extent, help to promote the development of real-time video surveillance system in intelligent monitoring aspect. It is not only a technical innovation, but also a great progress in the field of application, to combine the gait monitoring with the age identification. First, the age range of recognition can play to a role in screening, once the age interval is determined, is recognition of the object range has been greatly reduced, not only improve the recognition speed, but also enhance the recognition accuracy, suitable for the application to the criminal investigation work. Secondly, in a relatively dense population of the places, such as shopping malls, parks, etc., through gait monitoring on personnel age interval statistics, to solve some practical problems, so intelligent monitoring serve people's lives better.In this paper, based on the age of gait recognition process section is divided into three parts:The first part is from the video sequence to detect gait and pretreatment. The second part is by positioning the lower limb joints to determine the joint angle of gait feature extraction. The third part is the classification and recognition of the age range.2For these three parts to do the appropriate elaboration and research, and initial construction of a range of age-based gait recognition systems, to achieve and demonstrate the recognition process.