Real Time Multi Person Pose Estimation

Openpose is a library written in C++ with python wrapper available for real time multi person key point detection and multithreading. This model predicts the location of various human keypoints such as chest, hips, shoulder, neck, elbows, knees. This model uses part affinity fields and greedy inference to connect these localized keypoints.

In this talk, I'll be discussing how Openpose helps in the real time multi person detection system to jointly detect human body,hand,facial and foot keypoints detection and the part affinity field.

Also,discuss the model architecture,comparing with other models like Mask RCNN and AlphaPose. Finally show how pose estimation can be done on single as well as multiple person images using pretrained models

 
 

Outline/Structure of the Demonstration

Agenda for the talk:

  • Recap of CNN( 2 mins)
  • Use cases of Open Pose Detection( 2 mins )
  • Openpose Architecture( 10 mins)
  • Code walkthrough: Multiperson Pose Detection( 4 mins )
  • Q / A session ( 2mins )

Learning Outcome

1.Why Pose Estimation is important

2.How it is used in Real(Retail,Robotics) and Virtual(AR,VR) Scenarions

3.Underlying challenges in detecting the pose

Target Audience

Data Scientist, Deep Learning Engineers, Computer Vision Engineer, AI Researchers

Prerequisites for Attendees

Attendees are required to have a good understanding of basic ML and DL especially Convolutional Neural Networks

schedule Submitted 3 months ago

Public Feedback

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  • Deepti Tomar
    By Deepti Tomar  ~  2 months ago
    reply Reply

    Hello Gouthaman,

    Thanks for your time and efforts on the proposal! Could you answer the following questions to help the program committee understand your proposal better?

    • Are you planning to share demo(s)/use case(s) from your project work (industry-specific use cases)? Speaker's experience on the project helps people understand the concept better.
    • Did you use these techniques to help solve a particular problem? 
    • If yes, would you be sharing the Challenges faced in the implementation of the technique in your application and the workarounds along with the Results?

    Thanks,

    Deepti

     

    • Gouthaman Asokan
      By Gouthaman Asokan  ~  2 months ago
      reply Reply

      Hi Deepti,
      I will be discussing about its various use cases in the fields like Virtual Reality,Surveillance systems,Retail,Sports Analytics etc.Demo will be with a general image and video taken,how the code is being applied to do the pose estimation

      Thanks,
      Gouthaman Asokan

      • Deepti Tomar
        By Deepti Tomar  ~  2 months ago
        reply Reply

        Hello Gouthaman,

        Thanks for your response! Could you give more details on the real-world implementation of your work? Have you already applied the techniques in the fields mentioned above?

        Thanks,

        Deepti

        • Gouthaman Asokan
          By Gouthaman Asokan  ~  2 months ago
          reply Reply

          Hi Deepti,
          I have done the mentioned project for Cellstrat AI Lab,one of the leading R&D Organiation to innvoate AI.The model helps in detecting the activities performed by the person on screen,thereby helping in surveillance systems.

          Thanks,
          Gouthaman

  • Deepti Tomar
    By Deepti Tomar  ~  2 months ago
    reply Reply

    Hello Gouthaman,

    Thanks for your time and efforts on the proposal! Could you answer the following questions to help the program committee understand your proposal better?

    • Are you planning to share demo(s)/use case(s) from your project work (industry-specific use cases)? Speaker's experience on the project helps people understand the concept better.
    • Did you use these techniques to help solve a particular problem? 
    • If yes, would you be sharing the Challenges faced in the implementation of the technique in your application and the workarounds along with the Results?

    Thanks,

    Deepti

  • Natasha Rodrigues
    By Natasha Rodrigues  ~  3 months ago
    reply Reply

    Hi Gouthaman,

    Thanks for your proposal and for your voice-over videos, however to help the program committee understand your presentation style, can you provide a link to your past recording or record a small 1-2 mins trailer of your talk and share the link to the same?

    Thanks,
    Natasha


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