Akademik Veri Yönetim Sistemi
24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.1929-1932
The prominence of systems for automatic person identification has risen increasingly during in recent years. One of the biometric features such as finger print, face, iris, hand and DNA is human gait which the only knows biometric feature distinguishes the other biometric from perceptibility some distance away. In former work, gait recognition is mainly achieved with camera systems. In this paper, we propose an approach for gait pattern based on ASUS Xtion Pro Live Kinect sensor with an integrated depth sensor alowing for skeleton detection and tracking in real time. For the extraction of gait pattern record are taken from segital plane and accuray of gait pattern are supported from real plane's assays.