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Abstract
<p>This paper proposed human identification method by gait. Human gait is a type of biometric features and related to the physiological and behavioral features of a human. In this paper, a feature vector of gait motion parameters is extracted from each frame using image segmentation methods, and categorized into different categories. Two of these categories were used to form the gait motion trajectories; Category one: Gait angle velocity: angle velocity hip, angle velocity knee, angle velocity thigh and angle velocity shank. Category two: Gait angle acceleration: angle acceleration hip, angle acceleration knee, angle acceleration thigh and angle acceleration shank for each image sequence. Finally, the TDNN method with different training algorithms is used for recognition purpose. This experiment is done on our own database. This research developed a method which achieves a higher recognition rate in the training set 100% and in the testing set 83%. Also, category one establishes gait motion features to be used in human gait identification applications using different training algorithms, While category two achieved a higher recognition rate by trainrb algorithm.</p>
Highlights
Biometric systems for human identification on distance are increasing demand on it’s various applications
We give a brief description to Time Delay Neural Network (TDNN) which used for human identification: 3.1 Neural Networks
For each frame low limb joint and segment part extracted kinematic features to form the gait motion trajectories that divide into two categories based on human identification purposes as follows:
Summary
Biometric systems for human identification on distance are increasing demand on it’s various applications. The primary technique of gait recognition, namely model-based (Joshi et al, 2014) In their research, binary silhouette is detected from each frame, features from each frame are extracted using image processing operation, BPNN and SVM technique is used for recognition purpose.(Jure Cove & Peter Peer, 2014) described a new skeleton model based gait recognition system, focusing on modeling gait dynamics They inspect the problem of walking speed diverging.
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