Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms
نویسندگان
چکیده
منابع مشابه
Improving of Feature Selection in Speech Emotion Recognition Based-on Hybrid Evolutionary Algorithms
One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...
متن کاملMultiple Human Tracking and Gait Based Human Recognition
Based on sample video, we first use the image segmentation, filtering techniques to obtain multiple human tracking results. In this part, the persons (Xiaoji Ma and Xiangrong Li) on the video walking towards each other and meet in about the center of the video frame. Based on Hidden Markov Model, motion detection technique and certain algorithm are implemented; the moving trace and gait informa...
متن کاملMultiple Feature Voting based Human Interaction Recognition
Most of currently interaction recognition methods always need to segment the spatio-temporal features to the individuals involved in the interaction or need to build complex action models to present the human interaction. A novel method is proposed without considering the feature segmentation and complex action model in this paper. The proposed method utilizes two simple features i.e., improved...
متن کاملImproving Human Gait Recognition Using Feature Selection
Human gait, a biometric aimed to recognize individuals by the way they walk has recently come to play an increasingly important role in visual surveillance applications. Most of the existing approaches in this area, however, have mostly been evaluated without explicitly considering the most relevant gait features, which might have compromised the performance. In this paper, we have investigated...
متن کاملHumanoid Gait Optimization Based on Human Data
Achieving a stable, human-like gait for humanoid robots is a challenging task. While a variety of techniques exist to generate stable walking patterns, only little attention has been paid to the resemblance to the human gait. Popular gaits, for example, apply the strategy to bend the knees and to swing the torso in the lateral direction in order to ensure stability by shifting the center of mas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2021
ISSN: 1687-5273,1687-5265
DOI: 10.1155/2021/6693206