Algorithm proposed site of a new observation model and a new state-space methods to reduce parts: (1) to different parts of the body cells of different size unit calculates HOG features and linear SVM classification, which proposes a The new site observation model (2) the use of body parts to determine the positioning of the prior distribution site positioning region and then further reduce the state space by matching threshold neighborhood merging parts of the template and settings, thereby reducing the site presents a The method of the state space. Simulation results show that the algorithm is more efficient compared with the conventional algorithms.

新建文件夹\CreateSvm.m
..........\allFeature.m
..........\content.m
新建文件夹

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．