In this paper , a novel approach is proposed for t racking markerless human motion in monocular videos to capture the articulate motion data1 With an articulated human model const ructed , the new ap2 proach uses the probability density propagation of the particle filters through the learnt motion model and likelihood computing with the appearance models to t rack the human motion1 The method is capable of auto2 matically recovering f rom t racking failures1 It can also process the occlusion and auto2occlusion problem cor2 rectly1 Experimental result s f rom real monocular videos show that the new approach is robust and the t rack2 ing result s are satisfactory1

单目视频中无标记的人体运动跟踪-陈坚粒子滤波.pdf

• 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．