Title:
ImprovedGaitRecognitionApproach
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Description: Human gait recognition is the process of identifying individuals by their walking manners. The gait as one of biometrics has recently
drawn attention to the computer vision researchers. The stance estimation of one’s each gait sequence is based on the dynamic programming-based
Viterbi algorithm, which returns a sample stance sequence. The corresponding stances of sample stance sequences are averaged to get his feature
stance sequence. Principal component analysis and linear discriminant analysis are used for feature transformation of feature stances in the feature
stance sequence. The recognition is achieved by nearest neighbor algorithm. The experiments made on CASIA gait databases obtain comparatively
high correction identification ratio and comparatively strong robustness for variety of bodily form.
- [kunkuo] - Based on the outline of gait recognition
- [gaitrec] - HMM-based gait recognition, those who wi
- [pca2D] - 2DPCA human face, gait, such as image re
- [Walk_Challenge] - applicable code agentspark robot simulat
- [37724106Video_detection] - Human detection and identification and t
- [WaterShed] - I have written the watershed algorithm,
- [WEP] - Wireless network security encryption alg
- [15883856Gait] - Not bad, huh, good code. Thanks download
- [bt3] - Gait recognition based on feature fusion
- [212] - Target tracking, human tracking, gait tr
File list (Check if you may need any files):
ImprovedGaitRecognitionApproach.pdf
